Duties: The Markey Cancer Center at the University of Kentucky College of Medicine is seeking an exceptional candidate for a full-time, tenure-track Assistant or tenured Associate Professor position with strong background in bioinformatics, such as statistical, machine learning and AI methods for immuno-oncology, single cell, spatial, and multi-omics
Requirements: The position requires a Ph.D. degree in biostatistics, computer science, bioinformatics or a related field. In addition, strong methodologic and applied expertise, excellent collaboration and communication skills, and productivity in research is required. Experience in cancer-related research is preferred, though not required

Duties: Je nach Neigung und Vorerfahrung wäre Dein Schwerpunkt: die fachlich-mathematische Analyse; oder das Testen von Tarifen und Geschäftsvorfällen; oder die Weiterentwicklung von Referenzrechnern
Requirements: ein mindestens gut abgeschlossenes Studium (Bachelor oder Master) mit mathematischem Schwerpunkt, z.B. in Mathematik, Wirtschaftsmathematik, Versicherungsmathematik oder Physik; die Bereitschaft, die Ausbildung zur*m "Aktuar*in DAV" zu absolvieren (wir finanzieren die Ausbildung); sehr gute Deutschkenntnisse in Wort und Schrift, gute Englischkenntnisse

Duties: The Department of Mathematics and Statistics at North Carolina A&T State University, College of Science and Technology, invites applications for a 9-month, tenure-track faculty position in Statistics. The appointment is expected to be at the assistant or associate professor level but an appointment at the full professor level may be considered for exceptionally qualified applicants. The Department encourages persons from all areas of statistics to apply but is particularly interested in areas of statistical deep learning, scientific machine learning, quantum machine learning, AI and large language models, image and textual mining, computational statistics, or high-performance analytics. The Department of Mathematics and Statistics seeks candidates to join a growing Department with interactive faculty
Requirements: Ph.D. in Statistics, Biostatistics or Data Science, experience and track record indicating excellent potential to conduct research and advise students, and ability to teach undergraduate and graduate courses in the Department

Duties: We are building on this experience by forming a strong and diverse research group focused on developing and implementing cutting-edge methods and technologies for discovery and replication, molecular diagnosis, functional dissection of pathways, and targeted therapeutics for neurodevelopmental and related disorders. This work has the potential to dramatically improve the lives of individuals affected with these currently untreatable disorders through early intervention and biologically based personal therapies. Areas of interest include: genomics, single-cell genomics, modeling of neurodevelopmental disorders in stem cell (iPSC) and animal systems, massively parallel functional assays, and bioinformatics
Requirements: PhD, MD or MD/PhD in neuroscience, cell/molecular biology, genetics or related field; Strong interest in developmental neuroscience; Demonstrated ability to work independently and learn new techniques quickly; Candidates must be well organized, self-motivated and dependable; Excellent communication skills with the ability to plan, document, analyze and report data

Duties: Be responsible for ensuring the quality and timeliness of the delivery of insurance consultancy services. (Clients comprise a wide range including life insurance, life reinsurance, general insurance, captive other projects. Clients are based in Guernsey, Jersey, Malta, Gibraltar and the UK.); Representing the firm professionally and effectively with clients and to maintain a high standard whether by phone, in writing or in person; Being responsible for the review of checked work and to provide checking of (particularly more complex or new) work of other team members in the Insurance Actuarial department; Providing input into insurance related projects and processes including product development and process improvement; Being responsible for the development and maintenance of computer models used within the Insurance Actuarial department; Assisting in the training of the team
Requirements: The successful candidate must be a Fellow of the Institute or Faculty of Actuaries (or equivalent qualification outside the UK) with ideally 2-3 years experience; The successful candidate must be proficient in computer use including effective use of Word and Excel, Powerpoint. Knowledge of PROPHET and/or a statistical programming language such as R or Python would be an advantage

Duties: Design state-of-the-art machine learning models using Tensorflow for real-world, large-scale problems; Construct and maintain data pipelines for model training and serving using Google cloud products such as Apache Beam/Dataflow, BigQuery, and BigTable; Develop highly scalable model servers on cloud platforms; Work with product, account, and infrastructure engineering teams to define future product roadmaps
Requirements: MS or Ph.D. degree in Computer Science or related technical field; 7+ years of software development experiences in Machine Learning, Deep Learning related areas; Fluent with one or more programming languages including Python, Java, and Golang; Knowledgeable with production-level machine learning applications including Natural Language Processing, computer vision, recommendation systems, and ranking systems; Experience in building a highly scalable model or online service system

Duties: Conduct offline and online experiments, analyze according data and evaluate to improve algorithms and strategies; Responsible for the research and development of cutting-edge machine learning technology, application of visual, speech, audio and text recognition post-processing technology to products; Responsible for the optimization of NLP/Computer Vision/MultiModal algorithms for content understanding, and applying them to the scenarios of Trust and Safety; Responsible for building the ML model to recognize inappropriate content in the Trust and Safety context
Requirements: Bachelor's degree in Computer Science or equivalent with 5+ years of experience; Familiar with large-scale language modeling algorithms (N-gram, nnlm); Familiar with decoding engine optimization, with experience in WFST composition and optimization; Familiar with decoding algorithms under the end-to-end framework, with experience in decoding algorithm development and optimization

Duties: Quantitative Research Engineers (QREs) in GQS collaborate with Quantitative Researchers (QRs) to analyze data, develop research tools, and enhance and maintain our automated trading system and algorithms. QREs build software solutions that leverage sophisticated quantitative techniques and technologies to answer the most challenging questions in finance. Engineers with an exceptional record of achievement in their respective fields and a drive to apply advanced software engineering skills to systematic investing are encouraged to apply to GQS
Requirements: Bachelor’s, Master’s or PhD degree in Computer Science, Engineering, Mathematics, Statistics, or equivalent field; Proven track record of creatively solving problems by understanding and prioritizing business value and applying technology solutions; Strong programming skills (C++ preferred); Prior experience in developing on a Linux stack

Duties: Die Gruppe Verteidigung stellt das planende, führende und verwaltende Rückgrat der Schweizer Armee dar. Die Schweizer Armee trägt zur Kriegsverhinderung und damit zum Frieden in der Schweiz bei
Requirements: Schweizer Armee posts regulary jobs at our sites. Additional jobs can be found by clicking here. Many more institutions are listed in the left frame (desktop version), see "Search yourself at 9000 institutions"

Duties: Your work, analysis, experience and expertise are pivotal for mitigating financial market risks to safeguard SCOR’s risk appetite; Apply SCOR’s internal model to evaluate and perform duration and convexity analysis to measure sensitivity to interest rate changes, identify mismatches between assets and liabilities, stress test cash flow projection to anticipate liquidity needs; Simulate various scenarios to assess the impact of changes in the economic environment, and provide recommendations based on potential stress scenarios; Ensure adherence to financial regulations and solvency requirements; Provide detailed risk reports for internal stakeholders and regulatory bodies; Collaborate with Investment and Treasury about asset allocation and state of the art matching and hedging of cash flows and duration; Collaborate with the Financial Risk Market Risk team to manage risk appetite and risk limits; Collaborate with the Risk Modelling team for continuous development of the internal mod...
Requirements: Qualified Actuary (SAV, DAV, IFoA) or equivalent qualification and experience; Practical experience in using Internal Models (SST, Solvency II or Basel) for Market and Credit Risk Analysis; 10 years of experience in Asset Liability Management, preferably in Life & Health insurance or Reinsurance; Proficiency in MS Office and coding (preferred Python); Experienced project leader in an agile, multinational, cross-functional environment; Excellent communication skills and fluent in English

Duties: Perform financial impact assessment and support the explanation of financial results and business impacts to senior leadership team at SCOR; Complete governance documentation and deliver results through the governance process; Ensure that appropriate and auditable controls, reconciliations and documentation are maintained with respect to valuation, economic reporting and modeling; Act as a true business partner with the various stakeholders of the actuarial modeling process, both within Corporate Actuarial as well as the broader company; Partner with valuation and reporting teams, working closely on model and process improvements and enhancements for actuarial reporting; Collaborate with PMO team on project planning and ensure technical delivery of actuarial projects; Collaborate with the governance team in reviewing the business results and complete governance documentation for the actuarial projects and modeling changes; Serve as an ambassador for the Corporate Actuarial department a...
Requirements: Bachelor’s degree or foreign equivalent in Actuarial Science, Mathematics, Statistics or related field, or a related field and five (5) years of progressively responsible experience in the job offered or related occupation: Experience with financial valuation, modeling, and cash flow analysis; Experience with actuarial modeling software including Prophet, AXIS, MG-ALFA, ARCVAL; SQL including querying results from large datasets, building procedures and improving current processes; Managing project lifecycle and representing a department at stakeholder meetings; managing, mentoring and developing actuarial team members; Telecommuting and/or working from home may be permissible pursuant to company policies; When not telecommuting, must report to work site; Must be a Fellow of the Society of Actuaries

Workload: 80-100%
Duties: Support with financial and regulatory audits for insurance companies according to national and international accounting standards (e.g. OR, IFRS, US GAAP); Conduct independent recalculations or assumption reviews of technical provisions within the framework of financial audits or responsible actuary mandates; Immerse in hands-on actuarial consulting across Swiss Solvency Test (SST), Solvency II, capital modeling, actuarial model validation and due diligence; Solve complex problems for insurance & reinsurance clients and support clients with the actuarial aspects of finance transformation programs; Automatize existing processes, develop new solutions to analyze, evaluate and visualize actuarial data in R, Python or PowerBI; Collaborate with accounting, tax, and corporate finance professionals to bring integrated solutions to our clients; Build a professional network and interact with internal and external contacts
Requirements: University degree in actuarial science, mathematics, statistics, finance, economics, or physics; Studying for or newly qualified actuary SAV/DAV/FIA/CAS or equivalent actuarial qualification; Exceptional quantitative problem-solving skills and the ability to communicate complex ideas effectively; Entrepreneurial mindset, independent and outgoing personality who fosters collaboration; 2-6 years of experience within the non-life insurance industry in an actuarial position; Strong IT skills: specifically in MS Office and good knowledge of at least one programming language (e.g. Python or R), experience with actuarial software a plus; Fluent German and English, French an additional asset

Workload: 80-100%
Duties: Aktiver Beitrag zur Festigung und Weiterentwicklung der Aufsichtspraxis und -Instrumente im Bereich der Kapitalanlagen und des gebundenen Vermögens; Durchführung von quantitativen Analysen im Bereich der Kapitalanlagen und aktiver Beitrag zur Weiterentwicklung einer datenbasierten Aufsicht; Unterstützung der Aufsichtsabteilungen bei Themen im Bereich der Kapitalanlagen und Prüfung der Einhaltung der aufsichtsrechtlichen Anforderungen; Unterstützung der Funktion Kapitalanlagen beim Dialog mit beaufsichtigten Instituten und Stakeholdern sowie Teilnahme an Vor-Ort-Prüfungen; Analyse relevanter Entwicklungen der Kapitalmärkte, inkl. Risikoeinschätzungen
Requirements: Hochschulabschluss in Betriebs- oder Volkswirtschaft, Finance, Mathematik oder Naturwissenschaften; Mindestens 5 Jahre Berufserfahrung im Asset Management und/oder Risikomanagement; idealerweise bei Versicherungen; Gute Markt- und Produktkenntnisse im Asset Management, vorzugsweise im Bereich der alternativen Anlagen; Praktische Erfahrung mit Derivaten und Finanzierungsgeschäften (SFT) und im Bereich Governance von Vorteil; Gute Kenntnisse im Bereich der Finanzanalyse; Vertrautheit im Umgang mit unterschiedlichen Datenformaten und -tools, Programmierkenntnisse von Vorteil; Selbständige, lösungs- und prozessorientierte Arbeitsweise mit ausgeprägten Analysefähigkeiten; Hohe Teamfähigkeit und Dienstleistungsorientierung; Deutsch- oder Französischkenntnisse (C2), gute Kenntnisse der jeweils anderen Sprache von Vorteil

Duties: Hervorragende persönliche Entwicklungsmöglichkeiten durch umfassende Weiterbildung und abwechslungsreiche, herausfordernde Projektaufgaben; zum Beispiel: Modellierung und Konzeption komplexer Systeme, Umsetzung innovativer Protoypen und Begleitung anspruchsvoller IT-Projekte, Einsatz von Data-Science-Methoden und modernster Technologien; Grosse Freiräume beim Gestalten der Organisation, Abläufe und Systeme unserer Klienten und der Zukunft unserer Firma; Arbeiten in freundschaftlicher Atmosphäre im Team mit 100% hoch qualifizierten MINT-Absolvent*innen, bei dem auch der Spass nicht zu kurz kommt
Requirements: Sehr gut abgeschlossenes Studium in Physik, Mathematik, Informatik oder einem anderen natur- oder ingenieurwissenschaftlichen Studiengang; Gute IT-Kenntnisse und Spass an der Technik

Duties: EVITA is a Horizon Europe strategic project with the mission of creating a sustainable and dynamic EuroHPC Virtual Training Academy that empowers learners, educators, professionals, and researchers across Europe in the multidisciplinary field of HPC, including related areas such as emerging technologies and their cross-cutting dimensions. The vision for EVITA is a thriving European HPC ecosystem where knowledge knows no boundaries. The EVITA consortium's primary objective is to establish and maintain the EuroHPC Virtual Training Academy with a robust governance structure, high-quality training and learning materials, and a sustainable plan
Requirements: PhD in Artificial Intelligence, Data Science, Educational Technology, Computer Science, or a related field; Solid research background in one or more HPC domains, with an interest in interdisciplinary and applied research; Experience in developing or contributing to educational content, online training materials, or academic courses; Strong communication skills and an ability to engage with stakeholders across academia, industry, and policy

Duties: Contribute to the design, development, and evaluation of AI training programmes and micro-credential courses within the AI Factory (L-AIF) project; Conduct research on the integration of AI education and skills development in sector-specific contexts (e.g. finance, space, cybersecurity, green economy): Identify needs of the different sectors and develop concepts for each community; Collaborate with academic and industry partners to align training content with real-world applications and labour market needs; Support the development of pedagogical content for MOOCs, workshops, and blended learning formats
Requirements: PhD in Artificial Intelligence, Data Science, Educational Technology, Computer Science, or a related field; Solid research background in one or more AI domains, with an interest in interdisciplinary and applied research; Experience in developing or contributing to educational content, online training materials, or academic courses; Strong communication skills and an ability to engage with stakeholders across academia, industry, and policy

Duties: You will lead various transversal Risk projects spanning all SCOR’s P&C activities, involving (but not limited to) scenario development, materiality assessments, business referrals, and Risk analyses presented to senior management at quarterly Group and Board risk committees. You might also participate in some of SCOR’s legal entities Risk tasks as needs arise. These missions will be performed in close coordination with the SCOR P&C business unit, and in collaboration with colleagues from other Risk coverage teams (Life, Financial or Operational Risk), from other teams within the CRO domain such as Central Pricing, Prudential Affairs or Risk capital, and from Group teams such as Finance or Sustainability. The position involves contacts with senior SCOR colleagues from different teams
Requirements: Master’s degree in mathematics, Economics, Actuarial or equivalent; At least 10 years in the P&C (re)insurance industry, with increasing levels of responsibility/accountability, in a business or risk management -oriented role

Duties: Unterstützt unsere Kunden mit Deinem breiten aktuariellen Expertenwissen im Bereich Nichtlebenversicherung in unterschiedlichen Beratungsprojekten und in der Wirtschaftsprüfung; Leitest aktuarielle und fachübergreifende Projekte als Hauptansprechpartner für unsere Kunden und Teammitglieder; Leitest die Prüfung der versicherungstechnischen Rückstellungen unserer Kunden nach statutarischer und IFRS Rechnungslegung sowie regulatorische Prüfungen; Berätst interne und externe Stakeholder bei Themen aus dem Nichtleben-Aktuariat, inklusive aktuarieller Reservierung, Tarifierung, IFRS 17, Risikokapitalmodellierung unter SST/Solvenz II und bei der Validierung von komplexen stochastischen Modellen; Wirkst mit deinen technischen Kenntnissen in interdisziplinären Projektteams bei der Modernisierung von Versicherungsprozessen und -systemen mit; Entwickelst neue und existierende Kundenbeziehungen und bist sowohl intern bei PwC als auch extern auf dem Markt präsent, um Kunden zu unterstütz...
Requirements: Verfügst über einen guten Universitätsschulabschluss in Mathematik, Statistik, Actuarial Science oder Naturwissenschaften; Hast 4-6 Jahre relevante aktuarielle Berufserfahrung im Nichtleben-Versicherungsmarkt, sei es in einer (Rück-) Versicherungsgesellschaft oder in der Beratung; Bist Aktuar SAV oder hast eine äquivalente ausländische Qualifikation, oder stehst kurz vor Abschluss der Ausbildung; Hast angewandte berufliche Kenntnisse im Nichtleben-Aktuariat, z.B. in der Reservierung, Tarifierung, Risikomodellierung, Validierung, Produktentwicklung oder ähnlichen Bereichen; Vertiefte Erfahrung in der Nichtleben-Reservierung oder der Wirtschaftsprüfung sind von Vorteil; Bist ein Teamplayer, offen für neue Herausforderungen, flexibel und arbeitest gerne in einem unternehmerischen und fachübergreifenden Umfeld; Bist einsatzfreudig, teamorientiert und verfügst über einen gewissenhaften, lösungsorientierten und effizienten Arbeitsstil sowie starke analytische und quantitative FÃ...

Duties: Full-time faculty members teach courses in the Fall and Spring semesters; Summer semester teaching opportunities might be available. The teaching load may range from 12 credit hours for Full Professors to 18-20 credit hours for Lecturers. Classes may be scheduled during the day and evenings. The position holder is expected to teach a broad range of general and skills-based business administration courses at the undergraduate; male faculty members may also request; or be required to; teach courses at the graduate level. Full-time faculty members are also expected to attend faculty meetings and university events, serve on committees, and engage in academic scholarship and professional development activities
Requirements: Ph. D. holders from ACCSB Accredited universities will be preferred; Minimum of two years teaching experience in post-graduation in operations management, quantitative analysis and project management

Duties: Use Actuarial techniques to analyse a client’s portfolio(s) to provide quantitative and qualitative understanding of the loss exposure and inherent volatility; Assist both reinsurance placements and pitching for new business; Assist with the expansion the Lockton Re analytical toolkit; working with the wider team across the company to provide thought leadership on existing and new methodologies; Build and maintain relationships both internally and externally with clients and markets; Proactively support other senior actuaries and invest in the technical and professional development of analysts across the team
Requirements: FIA preferable; Excellent knowledge of actuarial techniques and methodologies, ideally relating directly to Casualty-specific reinsurance; Ability to clearly communicate methodologies, outputs and limitations internally and externally, to both technical and non-technical audiences

Duties: Aktive Mitarbeit an laufenden Projekten im Bereich der Lebens-, Kranken- oder Schaden-/Unfallversicherung im Rahmen von konkreten Kundenprojekten; Unterstützung bei der Entwicklung und Erweiterung von deterministischen und stochastischen Prognosemodellen einschliesslich Einsatz modernster Algorithmen zur Datenanalyse (insb. Machine Learning und Data Analytics); Innovative Weiterentwicklung der bestehenden Methodik zur Lösung versicherungsmathematischer Fragestellungen entlang der gesamten aktuariellen Wertschöpfungskette (Pricing, Reserving, Risk Management, Rückversicherung, Data Analytics); Mitarbeit bei der Berechnung, Analyse und Validierung von versicherungstechnischen Verpflichtungen
Requirements: Du befindest Dich idealerweise in einem fortgeschrittenen Semester deines Bachelorstudiums oder in Deinem Masterstudium der (Wirtschafts-)Mathematik; Überdurchschnittliche Leistungen sowie grosses Engagement im Studium zeichnen Dich aus; Die Versicherungs- und Finanzbranche interessiert Dich und vielleicht hast Du sogar bereits erste praktische Erfahrungen in Form von entsprechenden Praktika oder Vorlesungen gesammelt; Du verfügst über ein hohes Mass an analytischem Denkvermögen sowie eine systematische und lösungsorientierte Arbeitsweise; Du hast die Bereitschaft, Dich schnell in ein komplexes Aufgabenfeld einzuarbeiten

Duties: Develop, calibrate, and validate travel demand models in VISUM; Use GIS for spatial data analysis and visualization; Analyze and summarize data in Power BI to create interactive dashboards and reports; Analyze and interpret transportation data to support planning and decision-making processes; Prepare detailed reports and presentations using MS PowerPoint, MS Word, and MS Excel
Requirements: Degree in Transportation Engineering or Urban Planning or Geographic Information Systems (GIS) or Statistics or Data Science or Computer Science; Minimum of 5 years of experience working with travel demand models, particularly VISUM; Strong knowledge of GIS, Power BI, MS Excel, MS PowerPoint, and MS Word

Duties: The University of Applied Sciences and Arts of Southern Switzerland (SUPSI) is one of the nine professional universities recognised by the Swiss Confederation. Founded under federal law, SUPSI offers more than 30 Bachelor's Degree and Master's Degree courses, characterised by cutting edge education which unites classical theoretical-scientific instruction with a professional orientation. Great care is given to research, carried out in key sectors on competitively acquired projects with large European and national agencies or mandated by organisations and institutions
Requirements: We crawl all higher jobs in research, teaching and administration at SUPSI automatically and post them at acad.jobs. Additional jobs can be found by clicking here. Many more institutions are listed in the left frame (online version), see "Search yourself at 8000 institutions"

Duties: Tutoring in Mathematics, Statistics, Computer Science, Physics, Engineering, Chemistry, Biology, Languages & TOEFL, Economics, Calculator Technical Assistance, GMAT & SAT, Others; you pay 150 CHF, Euro or US$ for your advert to appear on www.acad.jobs/Tutoring for one year. For an additional cost of 200 CHF, Euro or US$, your listing will appear in the "Featured Tutors" section on the main page of www.acad.jobs/Tutoring. Banner: Annual cost is 500 US$ per 20 % call probability at www.acad.jobs/Tutoring
Requirements: Degree or student or other experience in Mathematics, Statistics, Computer Science, Physics, Engineering, Chemistry, Biology, Languages & TOEFL, Economics

Duties: Die Pädagogische Hochschule Zürich (PH Zürich) ist die Aus- und Weiterbildungsstätte für Lehrpersonen im Kanton Zürich. Sie wurde im Herbst 2002 durch die Zusammenlegung der elf Vorgängerinstitutionen der Lehrerinnen- und Lehrerbildung gegründet. Die PH Zürich erbringt Leistungen in folgenden Bereichen: Ausbildung, Weiterbildung, Dienstleistungen, Forschung & Entwicklung
Requirements: We crawl all higher jobs in research, teaching and administration at PHZH automatically and post them at acad.jobs. Additional jobs can be found by clicking here. Many more institutions are listed in the left frame (desktop version), see "Search yourself at 8000 institutions"