222 parallel-computing-numerical-methods-"https:" positions at Technical University of Munich
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finite elements) as well as alternative discretization methods (e.g., Lattice Boltzmann Methods), and high-performance computing. A selection of possible research areas can be found on our website: https
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following areas: Mathematical Analysis/ Numerical Analysis/ Theoretical Machine Learning Please note: Applications from candidates with degrees in other disciplines (e.g., Computer Science, Engineering) will
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University of São Paulo, Brazil. This position focuses on developing advanced computer vision methods and hardware setup for detecting and predicting plant diseases in soybean cultivation. About Us The Chair
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04.11.2025, Wissenschaftliches Personal We are looking for a full-time employee to join our team working on the EUROfusion project, starting on January 1, 2026 as Scientific Advisor to the Program
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guidelines into formal ontologies and knowledge graphs Design and develop modules for Medical Informatics Initiative (MII)/FHIR interoperability of the research prototype Work closely with clinicians and data
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interoperability with Medical Informatics Initiative (MII)/FHIR standards Design and implement methodological concepts and software for benchmarking frameworks for AI evaluation Independently develop and implement
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dedicated to improving the understanding of the lunar water cycle, with many applications in the field of solar system science and exploration. To this end, we combine both numerical modelling and
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07.08.2025, Wissenschaftliches Personal The Chair of Computational Mathematics at the Technical University of Munich (TUM) invites applications for one PhD position. The Chair of Computational
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algorithms for computing equilibria. Positions Available We invite applications for Doctoral Researchers (Ph.D Candidates) and Postdoctoral Researchers These full-time positions (100%) are initially offered
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systems involved in an effective health care system, rather than creating new medical treatments. Our recent studies have been motivated by two parallel questions: How can we encourage people to engage with