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computational and mathematical approaches grounded in information science. By modeling the knowledge derived from such approaches and translating it into novel system technologies, it becomes possible to develop
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NAISS, the National Academic Infrastructure for Supercomputing in Sweden, provides academic users with high-performance computing resources, storage capacity, and data services. NAISS is hosted by
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2026 - 22:09 (Europe/Brussels) Country Belgium Type of Contract Temporary Job Status Full-time Hours Per Week 38 Is the job funded through the EU Research Framework Programme? Not funded by a EU
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The Malawi Liverpool Wellcome Research Programme (MLW; https://www.mlw.mw ) and the University of Liverpool seeks a data scientist at a professorial level to establish and lead a team of data
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cancer therapeutics and biomarker development to strategically develop our portfolio of preclinical cancer models and ex vivo approaches. Your goal is to enhance our mission to validate and credential new
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numerical modelling computer aided techniques such as Finite Element Analysis – ANSYS; selection and application of wear-resistant materials including the implementation of heat treatment processes to improve
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team comprising computer engineers, architects, designers, urban planners, and local administration professionals. In collaboration with project partners, you will: Apply machine learning techniques
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. The candidate will collaborate in an international research team on related topics in probabilistic modeling, uncertainty quantification, and high-performance computing, with applications in the natural and
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ancillary programs. Lead complex financial modeling, forecasting, and scenario planning to support expansion, restructuring, and new program development. Collaborate closely with the Department Administrator
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and machine learning based analyses including predictive modeling and real world evidence generation. Basic Qualifications: MS in computer science, biostatistics, biomedical informatics or related field