119 parallel-computing-numerical-methods-"Simons-Foundation" positions at University of Southern Denmark
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Computation), Formal methods, and willingness to enhance knowledge in several of the listed areas. Proficiency in programming skills (C/C++, Python, Rust, Solidity, Vyper, etc.) is preferable. Strong
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PhD program, you must include a signed letter from your PhD supervisor stating your expected date of completion. Strong collaborative and communication skills and an interest in method development and
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of Uncertainty and Safety for Smart Co-bots) project develops methods to ensure robustness, performance, confidence estimation, and safety for AI-controlled robot arms in collaborative scenarios. The project is a
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/diplomas (from the Master’s and the PhD). A teaching portfolio containing documentation of your teaching qualifications as well as an account of your on learning and reflections on teaching methods and the
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department organization, research, and teaching, please visit the department’s website . Requirements and programme structure As a PhD Student you will follow an individual PhD plan including course work
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pharmaceutical data science (PDS) within the area of pharmacoepidemiology and pharmacovigilance. It will be the responsibility of the candidate to establish a portfolio of research within AI methods in
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(AI) affect media, politics, and democracy. Using an interdisciplinary socio-technical approach, the Centre combines methods from social sciences and computer science to address the social
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Status Full-time Hours Per Week 37 Offer Starting Date 1 Apr 2026 Is the job funded through the EU Research Framework Programme? Horizon Europe - MSCA Marie Curie Grant Agreement Number 101227644 Is the
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to develop new methods. The proteomics data will be used in combination with protein structure predictions and functional studies to understand the structure, function, and assemble of multimeric protein
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(week 6, 2026 - week 15, 2026) Number of lectures: 21. The applicant should be able to explain and discuss major topics and modern methods in biostatistics and apply these methods to data from