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modelling for planning structural heart interventions. Where to apply Website https://2411.webcruiter.no/Main2/Recruit/Public/5167557384 Requirements Research FieldEngineering » Biomedical
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candidates hold a Master’s degree in Informatics, Mathematics, or a related field, and possess strong expertise in linear algebra, GPU architectures, and programming in C++ and Python. This is a 100% TVL E13
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-impact projects across our core focus areas. We are looking for curious minds who are excited to push the boundaries of responsible AI. Learn more about the lab's work at: https
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field) and ground-based (radio) data - Use of various software codes: (i) radio emission simulation code, (ii) solar wind propagation code. - Development of software (preferably in Python) for data
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Programme? Not funded by a EU programme Reference Number AE2026-0234 Is the Job related to staff position within a Research Infrastructure? No Offer Description Portuguese version: https
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listed in the project description above (ideally SAR for cryosphere applications) Strong programming skills (preferably Python or MATLAB) Strong background in statistics Fulfillment of the requirements
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the requirements for election to this title at the University of Primorska, Fulfil the requirements for doctoral students at the University of Primorska. For more details, see: https://www.famnit.upr.si/en/education
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simulation and machine learning funded by the Klaus Tschira Foundation. Profile Solid grounding in statistical mechanics Experience with machine learning and/or molecular simulation; strong Python and PyTorch
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: Biochemistry Microbiome ecology Metabolic modelling Python and/or R Microbiome bioinformatics Longitudinal or temporal data analysis Microbial ecology and community dynamics This profile would suit someone with
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in Python and/or C++ programming will be considered a strong advantage. Where to apply Website https://emploi.cnrs.fr/Offres/Doctorant/UMR7315-DAMAND-006/Default.aspx Requirements Research