Duties: The Computational Structural Biology laboratory (Andrea Cavalli) at the Institute for Research in Biomedicine (IRB, Bellinzona, Switzerland) is recruiting a highly motivated postdoc to work on the development and application of artificial intelligence (AI), in particular large language models (LLM), to the discovery of antibodies
Requirements: Our international team will welcome candidates with a PhD in Computational Sciences, Computational Biology or related fields, with less than 3 years of postdoctoral experience and expertise in development and application of novel AI based methods, such as large language models (LLM). Furthermore, candidates should have strong programming skills (Python) and experience in structural biology

Duties: Correspond with clients to request data and other information in preparation for analyses; Assist in processing data from clients; Perform reserve analyses, funding analyses, data analyses, and other actuarial services; Present findings of analyses to clients; Participate in client calls and visits; Invoice clients; Perform peer reviews of analyses done by other consultants; Solicit new clients and prepare proposals for analyses to meet prospective clients’ needs; Participate in continual improvements to processes, models, and techniques
Requirements: 4+ CAS exams; 3+ years of property/casualty actuarial experience; Strong knowledge of actuarial techniques and concepts; Ability to work with minimal supervision

Duties: Continuously improve the design and performance of our automated trading system, including exchange connectivity, order and risk management system; Implementing trading strategies, including quoting, hedging, arbitrage and market making, which are highly adjustable in live trading and easy to integrate with backtesting system; Work closely with other teams to automate trading/reconcile/analytics workflow; Provide technical support for trading system
Requirements: 5-10 years of working experience with C++; Thorough understanding of memory management model, concurrency and best practices; Experience with network programming using TCP, Websocket; In-depth knowledge of Linux system; Good to have: Trading system experience in connectivity, model pricing

Duties: Konzeption, Installation, Betreuung und Auswertung von Windmessungen; Entwerfen und Optimieren von Windpark-Layouts; Erstellen von Energieertragsberechnungen; Berechnen von Schall- und Schattenwurfsprognosen; Koordinierung und Prüfung externer Wind-, Schall- und Schattenwurfgutachten
Requirements: Abgeschlossenes technisches oder technisch-naturwissenschaftliches Studium; z.B. Master of Wind Engineering, Meteorologie, Physik; Einschlägige Berufserfahrung in vergleichbarem Tätigkeitsbereich; Sehr gute Kenntnisse in WindPro & WAsP, WINDSIM wünschenswert; Gute Englischkenntnisse; Eigenständige Arbeitsweise; Reisebereitschaft

Duties: ISGlobal approach is multidisciplinary ranging from the molecular to the population level and including disciplines across health sciences, life sciences, environmental and climate sciences. Along with an outstanding faculty, experienced researchers and practitioners from many fields, ISGlobal is committed to develop postgraduate education programmes that meet the global health needs and expectations of the new generations of researchers and professionals
Requirements: Applications are invited from researchers holding a PhD title, excellent level of spoken and written English (please note: Spanish is not required), and high level of motivation

Duties: A PhD position is available in the frame of the project “Statisical Mechanics of Active Matter” funded by the FNR. Applicants are expected to have a good experience in statistical mechanics and numerical simulations. The project will focus on dense active matter, combining particle-based and hydrodynamic approaches, using recent methods of optimal control theory and stochastic thermodynamics. The candidate is also expected to take part in the scientific activities organized within Physics of Active Matter group and the Department of Physics and Materials Science, such as seminars, colloquia, and summer schools
Requirements: Excellent analytical and numerical skills; Solid knowledge of Statistical Physics; Good written and oral skills in English

Duties: Gleich vom ersten Tag an wird es spannend für Dich, denn Du wirst direkt ein aktiver Teil spannender Projekte in den Bereichen NLP, Computervision und vielen mehr. Als wichtiger Bestandteil des KI-Teams hilfst Du mit, beispielsweise unsere Spracherkennung für Ärzte und die Lesionsklassifizierung (Erkennung von Melanomen) immer weiter zu entwickeln; Bei uns wird es nie langweilig, denn zu Deinem Aufgabenbereich wird die komplette Pipeline von KI-Projekten angefangen bei Datenakquise, -vorbereitung, Modeldesign bis hin zum Deployment gehören
Requirements: Du hast irgendwas technisches oder naturwissenschaftliches studiert und kannst auf Dein Ergebnis echt stolz sein (eine Promotion kommt bei uns auch gut an); Du bist IT begeistert und konntest idealerweise bereits erste Erfahrung mit Machine Learning, neuronalen Netzen, Deep Learning oder Ähnlichem sammeln; Dir als KI-Entwickler ist es ein innerstes Bedürfnis, einen sauberen und wartbaren Code zu schreiben

Duties: Develop or fine-tune deep learning architectures and hone them through deployment on experimental platforms; Work with experimental groups to integrate modeling efforts into high-impact applications; Develop production-quality code in a team setting and plan for deploying and training models at scale; Present progress from scientific work in regular research meetings and prepare reports and slide decks for broader internal and external communication
Requirements: PhD in computer science with a desire to collaborate with leading experimentalists or a PhD in scientific field plus demonstrated experience applying deep learning. Exceptional candidates without PhDs will be considered; Experience developing, debugging, and applying models using modern deep learning frameworks on GPUs in cloud environments; Proficiency in Python and machine learning frameworks such as TensorFlow, Pytorch, and/or JAX; Desire to work across the entire data stack, from data ingest to model deployment

Duties: Designs and performs experimental studies that directly answer the above research questions, using both in vitro systems and animal models; Collects and analyzes data and presenting at national/international meetings; Prepares manuscripts for publication; Applies for external fellowships; Mentors junior lab members; Establishes new research protocols and procedure; Summarizes research findings and publish results in research journals; Maintains laboratory operations; Supervises research staff
Requirements: MD or Ph.D. in Basic Science, Health Science, or a related field. Experience with large-scale genomic datasets. Prior experience with brain development, and/or cancer cell biology would be an asset

Duties: Deliver best value and high quality service; Ensure quality control (QC) on all process and technical activities related to derived dataset, table, listing, and figure programming in accordance with corporate quality standards, WSOPs/Guidelines, ICH-GCP and/or other international regulatory requirements are performed; Assist in the coordination of project start-up activities, including Unix/PMED project area set-up, creation of global programs (e.g. setup.sas, formats.sas, etc.), tracking spreadsheets, and required documentation; Assist in the production and QC of derived dataset specifications, programming specifications, and other process supporting documents
Requirements: Statistical Programmer

Department: School of Mathematical and Statistical Sciences
Duties: The School of Mathematical and Statistical Sciences at Clemson University is seeking a talented individual for a full-time, 12-month Postdoctoral associate position starting from August 15, 2023
Requirements: The target hire will be a recent PhD in mathematics, computational science, data science, or other related fields. The position is aimed at interdisciplinary research in field-collected forestry population data and spatial stochastic mathematical modeling

Duties: We are searching a Machine Learning Engineer for Natural Language Processing/Computational Linguist
Requirements: Bachelors degree in Computer Science or related technical field or equivalent professional experience

Workload: 100%
Duties: Get to know "Thought Leadership" firsthand responding to today's changing market environment and new challenges in cyber security; Help our clients assess, build, and improve the effectiveness and quality of their information security as part of interdisciplinary teams of specialists working on advisory projects; Analyze complex enterprise environments from a cyber security perspective in different industries; Provide visibility and remediation of vulnerabilities and compromises, by among other executing penetrations tests and supporting crisis simulations; Help clients effectively and efficiently respond to cyber incidents; Assess information security management systems and provide independent assurance in accordance with national and international regulations and standards
Requirements: Bachelor's or Master's degree in (business)informatics, computer science, cyber security or similar; First experience in information security or in a comparable environment is preferred; A must: an interest in advisory topics and a deep technical understanding gained through training or other experience; Team spirit, determination, willingness to take action, and quick and analytical thinking; Proficiency in English and German

Duties: In collaboration with industry, academia, and governments around the world, we generate and commercialize innovative technical solutions to real world problems. Our research portfolio engages multidisciplinary teams with expertise and skills that range from fundamental algorithms and understanding, to machine learning and statistics, to media analytics and systems, to devices, networks, and sensing. Our mission is to advance the frontiers of knowledge to solve complex problems addressing fundamental societal challenges and creating business value for NEC
Requirements: A PhD in computer science, electrical engineering, networking, optics, machine learning, data science, mathematics or equivalent work experience; A proven track record of collaborative research; Strong written and verbal communication skills

Duties: In this role, you will be part of a highly collaborative environment in which you will work independently on a multi-disciplinary team to design and develop flight and/or mission-critical onboard software for autonomous systems
Requirements: B.S. in Aerospace Engineering, Computer Science; 7+ years relevant experience

Duties: Subject to availability of funding, the Department will have two openings at the level of Tenure-Track Assistant Professor, with the possibility of appointment at a higher level for exceptional candidates. One of these positions may be named position, the Harold H. Martin chair. The department has identified several priority areas (Algebra & Algebraic Geometry, Computational Applied/Mathematics/Data Science, Discrete Mathematics, Geometry & Topology, Mathematical Analysis, and Number Theory), but outstanding candidates in any area of mathematics may be considered
Requirements: Candidates must have a PhD in mathematics by employment start date and have a strong record of research accomplishments in mathematics as well as effective teaching. Candidate will teach undergraduate and graduate courses in mathematics. The normal teaching load for research-active faculty is 2-1

Duties: Development and implementation of state of the art reinsurance framework for our global Travel portfolio in order to protect and optimise our P&L and facilitate business growth; Create and execute opportunities to automate; Contribute to the design and structuring of more innovative business deals that utilise reinsurance features, such as fronting, captives, stop loss, risk sharing, special cessions; Efficient and timely execution of deals; Support, enhance and challenge, from the data delivery phase to the reinsurance design and execution end; Management of financial/solvency optimisation initiatives, including technical input, coordination and project management; Analysis, design and execution of new approaches to enhance maturity of cat management, including modelling, monitoring/appetites and pricing
Requirements: Minimum Bachelor’s degree, ideally Master’s. Preferably in Business/Finance, Mathematics/Statistics or Engineering; Ideally an actuarial qualification; Detailed understanding and knowledge of best practices and trends in reinsurance; Significant experience in the (re)insurance; Quantitative technical analysis skills required; Experience managing multiple cross-functional senior stakeholders; Multi-country, multi-cultural reinsurance exposure preferred; Strong IT user skills, very good user knowledge of Microsoft (Excel, Word, PowerPoint); Fluency in English

Workload: 80-100%
Duties: Die Hauptaufgabe ist die fachliche und finanzielle Leitung von Forschungs- und Entwicklungsprojekten inklusive Ressourcen- und Terminplanung; Mitarbeit in der Umsetzung von Forschungs- und Entwicklungsprojekten sowie Unterstützung der Unternehmen und Forschungspartner bei der Durchführung von entsprechenden Entwicklungsprojekten; Mitarbeit in der Akquise und Initiierung von Forschungs- und Entwicklungsprojekten inklusive Projektvorbereitung und Gesuchsstellung
Requirements: Sie haben erfolgreich ein technisches Studium abgeschlossen und eine mehrjährige Erfahrung in der numerischen Simulation. Sie gehen gerne auf Menschen zu und haben Spass im Umgang mit einer Vielfalt von verschiedenen Persönlichkeiten und Organisationen

Duties: We are looking for a Research Fellow to join our team working on stochastic analysis, with a focus on regularisation by noise phenomena
Requirements: You will have a PhD in Mathematics (or have submitted your thesis before taking up the role) or a related discipline, and a strong background in stochastic analysis, partial differential equations, and functional analysis

Duties: We are seeking an outstanding candidate for a lectureship in Statistical Learning, interpreted broadly, as part of an expansion in Artificial Intelligence and Data Science research and education in the School of Mathematical Sciences. This position arises thanks to a significant new investment by the University to support our ambitions to further develop our strengths in this important area
Requirements: A PhD or equivalent professional qualifications and experience in a relevant discipline; Ability to obtain peer-reviewed funding; Evidence of distinction in research through high-quality publications; Ability for undergraduate and postgraduate teaching

Duties: We are seeking an outstanding candidate for a Lectureship in broadly interpreted Optimisation for Machine Learning and AI within the School of Mathematical Sciences at the University of Southampton
Requirements: a doctorate and postdoctoral experience in a relevant discipline; ability to obtain peer-reviewed funding; evidence of distinction in research through high-quality publications; ability for undergraduate and postgraduate teaching

Duties: The university offers support of academics from a broad range of career paths, whether you are an established academic who currently holds an equivalent position, or a successful academic seeking an opportunity to grow into a more senior role, this is the place to do something truly unique with your expertise. You will have experience in bioinformatics, epidemiology, systems biology, large-scale ‘Omics data analysis, human centric artificial intelligence, machine learning or large data management. We are seeking candidates whose expertise spans these backgrounds with a track record and demonstrated curiosity for interdisciplinary research
Requirements: To apply, you will need a PhD, or equivalent professional qualifications, with a strong publication record, and able to demonstrate delivery of teaching in a manner that meaningfully engages students. You will have a track record of innovative research in one or more of the following: Computer Science, Health Data Science, Health Research Method Development and Analysis, Bioinformatics, Epidemiology, Public Health, large-scale ‘Omics data analysis, or systems biology; and have a desire to build a strong interdisciplinary research team with the support Medicine and ECS

Duties: You will produce high quality research outputs and contribute to writing competitive grant funding applications in relation to vasculitis and genetic epidemiology. You will also have an opportunity to supervise postgraduate research students undertaking work in this area
Requirements: Applicants will have an MSc or other higher degree in epidemiology, statistics or a related analytical subject or equivalent experience of working in an applied health research or basic science environment. Knowledge and working experience of advanced statistical techniques in medical research are essential while experience of the analysis of germline genetic data would be beneficial

Duties: As a postdoctoral researcher, your key duty is to develop computational solutions to generate high-dimensional synthetic cohorts, consisting of simulated biomarker and imaging data from patients with neurodegenerative diseases, as well as healthy older people. You will be using generative machine learning models, which may include different approaches of generative deep learning (e.g., generative adversarial networks and diffusion-based transformers). When successful, the synthesis will result in cohorts that recapitulate the original data set’s associations between multimodal features (e.g., biochemical markers, neuroimaging, cognitive testing, proteomics, and genomics), but also allow for reproducible discoveries. Additionally, the generation of synthetic data should preserve patient integrity and privacy in a way that allows for flexible and rapid sharing of the synthetic data between researchers and labs
Requirements: PhD degree in engineering, bioinformatics, statistics, computer science, mathematics, computational biology, or a related discipline. This requirement needs to be met no later than when the employment decision is made. Therefore, we also welcome applicants whose PhD degree will be completed imminently; Advanced programming skills, e.g., in R or Python; Good knowledge of machine learning, generative modelling and deep learning; Good knowledge of parallelized computing and use of computer clusters; Good knowledge of oral and written communication in English

Duties: master policy rerating tools and use them to produce estimated quotes for BOP and other small business commercial lines; gain knowledge of internal and external data sources relevant to rating insurance policies and understand the contents and limitations of each; recommend approaches to estimating policy characteristics in the absence of verified policy data; explore new data sources as they become available and document the contents and limitations of each; communicate with business partners about their needs and expectations
Requirements: advanced degree in statistics, mathematics, economics, actuarial science, or other related fields; graduate degree or Ph.D. is preferred; at least three years of property/casualty actuarial experience; proficiency with Microsoft® Excel; experience with VBA, SQL, SAS, R and/or Python