Duties: Utilize enterprise standards for data domains and data solutions, focusing on simplified integration and streamlined operational and analytical uses; Ensure there is clarity between ongoing projects, escalating when necessary, including direct collaboration with 84.51; Leverage innovative new technologies and approaches to renovate, extend, and transform the existing core data assets, including SQL-based, NoSQL-based, and Cloud-based data platforms; Define high-level migration plans to address the gaps between the current and future state; Contribute to the development of cost/benefit analysis for leadership to shape sound architectural decisions
Requirements: Bachelor's Degree in computer science, software engineering, or related field; 4+ years experience in the data development and principles including end-to-end design patterns; 4+ years proven track record of delivering large scale, high quality operational or analytical data systems; 4+ years successful and applicable experience building complex data solutions that have been successfully delivered to customers

Duties: Partner closely with Infrastructure Machine Learning Engineers to build systems designed to improve our extensive infrastructure; Help Infrastructure Machine Learning Engineers maintain and support existing systems; Use your experience supporting existing systems to inform how we can improve support processes to allow us to scale effectively; Help evangelize this work with the broader Algos and ML community at Netflix
Requirements: A strong coder with experience in Python and standard ML frameworks like PyTorch and TensorFlow. Experience with languages like Java or C++ is a plus; Some experience in implementing and productionizing models in large scale industrial settings is a plus; Familiarity with optimization models with standard frameworks/solvers (e.g., XPress, cvxpy, Gurobi); Familiarity with operational tooling for ML services (monitoring, alerting, etc.), and services for model hosting/serving

Duties: Performs actuarial pricing for Group Benefits Solutions products, including Life, Accident, Long Term Disability, Short Term Disability, and Absence products and services. Works with Underwriters to develop proper rate adjustments based on client risk profiles, special plan designs, and considerations from profitability, market competitiveness, and market strategic recommendations. Performs case-specific risk assessments to develop appropriate premium rates for a given risk to support the market’s growth and profitability goals
Requirements: Bachelor's degree in Economics, Finance, Statistics, Mathematics or Actuarial Science (willing to accept foreign education equivalent) plus three (3) years of experience performing actuarial services for insurance or annuity products

Duties: Prepare Medicare Advantage bids submitted to CMS annually; Conduct data analysis and prepare reports for Medicare Advantage submissions; Understand and interpret the key drivers of health care trends; projecting expected revenue and cost; Develop pricing methodologies and assumptions; Conduct and evaluate studies on pricing, utilization and health care costs
Requirements: ASA Credential or greater; 5+ years of Actuarial experience; Experience working with Medicare Advantage; Expertise working with large tables of data, formulas, and calculations in MS Excel

Duties: The postdoctoral researcher will conduct statistical analyses of high-dimensional data collected from healthy control individuals and patients with Alzheimer's disease and other neurodegenerative diseases. The analyses will particularly focus on proteomics, both in our own large cohorts led from Lund and Malmö and in cohorts from other sources that we analyze in various collaborations. We utilize state-of-the-art proteomic methods, such as OLINK Explore HT, SomaScan, and NULISA. The project also involves integrative omics analyses, where proteomic data can be analyzed alongside genetics, metabolomics, and quantitative neuroimaging and neuropathology
Requirements: Completed PhD in engineering, bioinformatics, genetics, statistics, computer science, mathematics, computational biology, or a related discipline; Good knowledge of bioinformatics/statistical programming, eg in R, Python, or MATLAB; Experience with high-performance computing (HPC) environments and/or parallelized job submission; Good knowledge of oral and written communication in English

Duties: Regular mentoring of Ph.D. and postdoctoral scientists carrying out microbiome research, which includes bioinformatic screening for microbiome-derived bioactives, microbial and mammalian cellular growth and phenotyping assays, and gnotobiotic mouse screens
Requirements: Ph.D. in Molecular Biology, Computational Biology, or related fields, with advanced research skills and at least 5 years of related experience. Combination of molecular biology and computational expertise preferred

Duties: Sie erhalten Einblicke in die Lebensversicherung mit Schwerpunkt Asset-Liability-Modellierung und Solvency II. Hierzu zählen die Modellierung von Produkten in RiskAgility FM, die Implementierung von aktuariellen Annahmen und Managementregeln sowie die zahlreichen Einsatzmöglichkeiten des Unternehmensmodells; Darüber hinaus lernen Sie die Prozesse im aktuariellen Bestandscontrolling kennen und unterstützen bei Projekten zur Optimierung dieser Prozesse; Sie bekommen auch auch die Gelegenheit, Ihre Programmierkenntnisse auszubauen
Requirements: Sie studieren (Wirtschafts-)Mathematik, Informatik oder Physik; Sie verfügen idealerweise über Vorkenntnisse in den Bereichen Versicherungs-/Finanzmathematik sowie Programmierkenntnisse; Sie bringen gute analytische sowie kommunikative Fähigkeiten mit und Ihre Arbeitsweise zeichnet sich durch Zuverlässigkeit, Genauigkeit, Verantwortungsbewusstsein und Teamfähigkeit aus; Sie sind während Ihres Praktikums an einer Hochschule immatrikuliert

Duties: The Department of Finance at the Faculty of Management, Dalhousie University, invites applications for a twelve-month limited-term appointment at the rank of Lecturer or Assistant Professor, starting August 1, 2024 (negotiable)
Requirements: A PhD or Masters degree in a relevant field (e.g. an MBA), or equivalent professional accreditation

Duties: Sie verbessern das Sicherheitsniveau durch Beratung und gezielte Vorschläge; Sie arbeiten fachbereichsübergreifend mit Expertinnen und Experten aus verschiedenen Bereichen der Informationssicherheit, wie zum Beispiel der Sensorik und Forensik, zusammen; Sie unterstützen bei Massnahmen zur Sicherheitssensibilisierung; Sie unterstützen bei der Expansion der IT-Sicherheitsinfrastruktur im Inland und in den Einsätzen der Bundeswehr; Sie erstellen Beiträge zur Cyber-Lage, d.h. Sie werten Ergebnisse aus, beurteilen diese und geben Handlungsempfehlungen; Sie nehmen an nationalen und internationalen Konferenzen teil, um die Aktivitäten der eigenen IT-Sicherheitsorganisation mit NATO-Mitgliedern und -Partnern abzustimmen
Requirements: Sie haben ein abgeschlossenes technisches Fachhochschul- oder Hochschulstudium; Sie besitzen die deutsche Staatsbürgerschaft; Sie sind bereit, sich bundesweit versetzen zu lassen; Sie erklären sich dazu bereit, an Auslandseinsätzen der Bundeswehr teilzunehmen; Als Soldatin bzw. Soldat auf Zeit beträgt Ihre Dienstzeit in dieser Laufbahn mindestens 3 Jahre

Duties: Design, implement, and operate robust, scalable genomic data processing pipelines using Nextflow on AWS; Manage pipeline results using big data technologies (e.g. distributed databases); Manage pipeline-related assets to ensure that they are findable, accessible, interoperable and reusable; Apply best practices for version control, testing, and documentation; Ensure data quality and integrity by implementing and maintaining rigorous quality control and data validation procedures; Collaborate closely with platform scientists, data scientists, and data engineers to solve complex data processing and analysis challenges
Requirements: MSc or PhD or equivalent in bioinformatics, computational biology, computer science, or similar discipline; 3-plus years of post-graduate or industry experience developing high-throughput bioinformatic data processing pipelines; Experience in NGS mapping, variant calling and variant analysis preferred; Experience in bioinformatics workflow frameworks (NextFlow), version control systems (Git), Cloud (AWS preferred), and containers (Docker preferred); High level of proficiency in Python or equivalent and Linux

Duties: Work within an interdisciplinary team of molecular biologists, computational biologists, software engineers, and scientific leaders focused on developing diagnostic products using massively parallel sequencing of tumor genomic DNA and RNA; Lead development of algorithms and new computational methods for identifying clinically-relevant alterations in tumor DNA and RNA derived from clinical cancer specimens, potentially leading a small team; Enhance and optimize existing methods, improving their assay capabilities as well as their technical robustness; Perform or oversee collaborative software development and validation efforts
Requirements: Master's Degree or PhD in Bioinformatics, Computational Biology, Computer Science, or a related field; 3+ years working in NGS based diagnostics or research; Academic or professional study/work with molecular biology and/or genomics; Familiar with one or more of the following programming and scripting languages: Python, Java, R, or C++

Duties: Contribute to the 0-1 build of multiple AI products; Design and build high-quality, highly reliable products with user experience at the centre; Be responsible for engineering innovative, best in class AI platforms for the bank; Creating firsts in the Generative AI space for Citi as part of the team that defines the strategic direction for the bank; Continually iterate and scale Generative AI products, whilst listening to the needs of the customers (internal); Mentor and nurture other engineers to help them grow their skills and expertise
Requirements: Deep hands on knowledge of Kubernetes, developing backend platforms and engineering APIs that scale; Fluency in at least two programming language, with preference for Python, Javascript/Typescript, Golang; Experience designing control and sandboxing systems for AI research; Pytorch, TensorFlow experience; Experience maintaining and/or contributing to bug bounty and responsible disclosure programs; Understanding of language models and transformers

Duties: Provide sound statistical and operational input, including study and program design, writing of the protocol sections, statistical analysis plans (SAP), clinical study reports (CSR), regulatory documents or scientific publications; Partner with cross functional teams to provide strategic biostatistics input to support entire drug development process; ensure statistical integrity of all key deliverables; Provide statistically sound scientific methodology for study design and data analysis input to meet project objectives in accordance to regulatory guidance and industry standards; Collaborate with the programming and data management functions to ensure appropriate data collection and reporting; Provide leadership in evaluating alternative or innovative methods of study design and analysis; Assist in efforts to identify, develop and implement departmental standards, applications, processes and training; Oversees statistical and programming deliverables by CROs
Requirements: PhD in Biostatistics or a related field with a minimum of 5 years of relevant experience in pharmaceutical or biotechnology drug development; Understanding and experience with various aspects of a clinical development life-cycle, leading up to regulatory submission and post-approval activities; Experience interacting with and overseeing biometrics services of CRO vendors; Proficiency in the use of statistical software including SAS and R at minimum; familiarity with East and Sportfire

Duties: Providing input on study design within protocols; Writing statistical analysis plans and preparing associated table shells, with the support of more experienced members of the team; Leading the execution of psychometric analyses and interpreting results, with awareness of regulatory requirements; Drafting and reviewing study reports, publications, and other deliverables; Presenting the results of psychometric analyses externally and liaising with clients on psychometric queries; Serving as a psychometric consultant internally for Adelphi Values; Providing internal training on relevant psychometric methodology
Requirements: Masters in statistics, psychometrics, psychology, educational measurement, or a related field; or equivalent experience; Knowledge of relevant psychometric methods; Knowledge of latent variable models including factor analysis and item response theory

Duties: As we enhance our partnership with the United States Navy in protecting our nation’s citizens and security assets, we seek technical talent to partner with us as we strive to exceed expectations and expand our footprints
Requirements: BS Plus 4 Years experience or Master's of Science Plus 2 Years experience OR Ph.D in one of the following specialization: (Mathematics, Computer Engineering, Computer Science, Statistics, or Data Science)

Duties: Unterstützung der Kolleginnen und Kollegen bei allen Aufgaben im Bereich der betrieblichen Altersversorgung; Erstellung von Rentenbescheiden und Leistungsausweisen; Verarbeitung von Personaldaten für die Erstellung von versicherungsmathematischen Gutachten; Unterstützung bei Kundenanfragen per E-Mail oder Hotline; Allgemeine Büroarbeiten
Requirements: Laufendes Studium der (Wirtschafts-) Mathematik, Betriebswirtschaft mit finanzwirtschaftlichem Schwerpunkt oder einer vergleichbaren Studienrichtung; Zeitliche Verfügbarkeit: schnellstmöglich bis 20 Stunden pro Woche; eine ausgeprägte Kommunikationsfähigkeit; Organisationstalent

Duties: Graz University of Technology is a public research university located in Styria, Austria. It was founded in 1811 and is the oldest science and technology research and educational institute in Austria. It currently comprises seven faculties and is a public university. It offers 19 bachelor's and 35 master's study programmes (of which 18 are in English) across all technology and natural sciences disciplines
Requirements: We crawl all higher jobs in research, teaching and administration at TU Graz 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: We tackle future issues and take responsibility for the entire region of Southern Austria. With 30, 000 students and 4700 employees, we make a decisive contribution to the vibrant life of the Styrian capital. We work for tomorrow - this motto guides the students and scientists at the University of Graz: They look to the future, take on challenges and develop solutions for the world of tomorrow
Requirements: We crawl all higher jobs in research, teaching and administration at KFU Graz 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: Die Spital Davos AG bietet eine umfassende Gesundheitsversorgung für die Bevölkerung, Zweitheimische und Gäste. Unsere Spezialistinnen und Spezialisten aus Chirurgie und Orthopädie, Innere Medizin, Betreuung und Pflege, aber auch Sport und Prävention halten Sie gesund und unterstützen Sie im Alltag. Mit dem Pflegeheim Alberti, der Spitex Davos, dem Rettungsdienst und der Kinderkrippe Mandala verfügen wir zudem über weitere Betriebe direkt im Haus
Requirements: We crawl all higher jobs in research, teaching and administration at Spital Davos AG 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"

Workload: 60-100%
Duties: Du betreust und entwicklest Modelle zur Quantifizierung von Nicht-Leben-Risiken für Solvency II und den Schweizer Solvenztest; Du erarbeitest und bewertest das Risikoprofil zur Festlegung des Risikoappetits der Sachversicherungsgesellschaften inklusive Überwachung und Steuerung von Risikokonzentrationen und -kumulen; Du unterstütztst das Underwriting, die Rückversicherungsabteilung und die Produktentwicklung mit dem Ziel, nachhaltiges und profitables Wachstum im Rahmen des Risikoappetits zu erzielen; Du erstellst Reportings als Basis für die Kommunikation mit den Fachabteilungen, dem Management der Allianz Suisse inklusive Geschäftsleitung und Verwaltungsrat sowie mit der Aufsicht (FINMA); Du entwickelst Prozesse, Datenbanken und Systeme im Risikobereich weiter unter Einsatz von modernsten Technologien
Requirements: Hochschulabschluss mit quantitativem Hintergrund wie Mathematik oder Physik, aber auch mit quantitativer Ausrichtung in anderen Studiengängen; Mindestens drei Jahre Berufserfahrung in Bereichen der Sachversicherung (Risikomanagement, Aktuariat, Produktentwicklung, Underwriting oder vergleichbaren Bereichen); Sehr gute analytische und konzeptionelle Fähigkeiten; Teamplayer mit sehr guten kommunikativen Fähigkeiten in Deutsch und Englisch

Duties: The successful candidate will enhance the ICON-RedSeaClimate project’s zooming capabilities in coupled atmosphere-ocean configurations for extracting regional information. She/he will utilize these capabilities to carry out cutting-edge experiments at high resolution and analyze data to improve our understanding of the role of mixed layer turbulence in shaping the climate of the Arabian Peninsula. The candidate is also expected to represent the project in national and international collaborations
Requirements: PhD degree in oceanography, meteorology, physics, mathematics, or other related fields; In-depth knowledge of numerical ocean modelling and computational climate science; Experience in supercomputer simulations of state-of-the-art circulation models; Proficiency in Fortran, UNIX/Linux, Python, parallel programming, visualization, and evaluation of simulation data; Demonstrated experience in executing research projects and publishing results; Good communication skills, ability to work autonomously and self-responsible

Duties: Carry out novel research works in some of the following domains; Novel communications technologies for Beyond 5G/6G networks and services; Cellular, UAV, IoT, Tactile Internet, MEC, V2X, D2D, M2M, eMBB, mMTC and URLLC; Machine learning/deep learning techniques and Artificial Intelligence for wireless communications; Reinforcement learning, active learning, transfer learning, federated learning and interpretable/explainable AI; Software defined networking, network virtualization and network slicing for wireless networks; Energy-efficient communication technologies; Energy harvesting, SWIPT, backscatter communications and reconfigurable intelligent surfaces; Advanced multi-antenna technologies for B5G/6G wireless networks; Massive MIMO, cell-free massive MIMO, beam space massive MIMO, active antennas, smart antennas, precoding, hybrid analog-digital beamforming and 3D beamforming
Requirements: A PhD degree in wireless communications, signal processing, machine/deep learning or a closely related field in Electrical and Computer Engineering; Should have published at least 3 journal papers in top 10% international journals of the field, and/or should have strong experimentation background and experience of working in industries or university laboratories; Sound publication track-record on one or some of the following areas: wireless communications technologies, signal processing for communications, machine/deep learning, UAVs, MTC/IoT communication techniques/protocols, Terahertz communications, and Quantum communications

Duties: Under the direction of a professor, the candidate will carry out research activities and write a thesis with the main goal of obtain a PhD in the area of Software Engineering. This includes conducting literature surveys and establishing state-of-the-art; developing necessary experimental and simulation facilities where required; planning, executing, and analyzing experiments and simulations; conducting joint and independent research activities; contributing to project deliverables, milestones, demonstrations, and meetings; disseminating results at international scientific conferences/workshops and peer reviewed scientific publications
Requirements: Bachelor in Computer Science or related; Master on a subject related to Informatics, or Software Engineering, or Computer Science, or Information Technology; Strong background in software testing and formal methods applied to software engineering, such as, propositional/temporal logic, sat solving, model checking, etc; Strong analytical skills; Industry experience in information and communication technology will be considered as an advantage

Duties: Hervorragende persönliche Entwicklungsmöglichkeiten durch umfassende Weiterbildung und abwechslungsreiche, herausfordernde Projektaufgaben, z. B.: Strukturierung und Management komplexer Projektvorhaben; Analytisch anspruchsvolle Geschäftsprozessmodellierung und -optimierung; Konzeption von Steuerungssystemen mit statistischen, finanzmathematischen und KI-Methoden
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: Der Schweizerische Nationalfonds (SNF) fördert herausragende Forschung an den Hochschulen; von der Physik über die Medizin bis zur Soziologie. Tausende von Teams schaffen Wissen für eine bessere Zukunft aller Menschen. Gemeinsam mit Partnern gestalten wir den Forschungsplatz Schweiz
Requirements: Initiativbewerbung am Schweizerischer Nationalfonds zur Förderung der wissenschaftlichen Forschung