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under Uncertainty in Bulk Shipping) is a 2-year research project that aims to develop novel mathematical models and decision-support tools that explicitly account for uncertainties related to cleaning
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Leibniz-Institut für Astrophysik Potsdam (AIP) | 2 months ago
excellent programming skills (e.g. C/C++ or Python) are encouraged to apply. Very good analytical, mathematical skills and hands-on experience in developing computational code, running hydrodynamics
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The Department of Computer Science invites applicants for a PhD fellowship in Mathematical Image Analysis for Sustainable Materials to be part of the Novo Nordisk Foundation–funded project RAPTOR , a
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qualifications You have completed an advanced degree in Medical Biotechnology or completed courses of at least 240 credits, of which at least 60 credits at advanced level in bioinformatics or mathematical
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trustworthy software and systems, spanning foundations, programming languages, tools and practical methods that help shape dependable digital infrastructures. About the research project Depending on the
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mathematical ability and a genuine interest in probability and statistics. Applicants whose background is mainly in pure or applied mathematics are encouraged to apply: prior study of statistics
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using simulation software such as COMSOL Multiphysics, MATLAB, and/or Ansys. Programming, coding, and experimental hardware skills (desirable). Strong analytical and mathematical capabilities. A passion
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mathematical problem-solving skills Excellent programming skills (Python and modern machine learning frameworks like PyTorch, JaX, etc.) and experience in working with HPC/GPU environments A track record
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Cambridge, Imperial College London, and John Hopkins University (USA). About the role The PDRA will lead the development of new computational and mathematical models to quantify and predict infectious
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and working methods across all space domains. The overarching goal of this research fellowship is to develop and study advanced theoretical frameworks for deep learning, understand their mathematical