17 finite-element-method-"Multiple" Postdoctoral positions at University of Southern Denmark
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possible. It is strictly required that you have experience with: Scientific programming, preferably in python and/or MATLAB and/or C++ Derivation and implementation of finite element methods (FEM) in code
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programming and ease with formal thinking are prerequisites. The project is based on the novel application of formalisms, algorithms, and computational methods from computer science to the modeling of microbial
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Description Modern software systems are increasingly multilingual by design, combining multiple programming languages, execution environments, and communication layers. This is particularly noticeable in mobile
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, software engineering, and artificial intelligence, starting November 1, 2025 or as soon as possible thereafter. The position is part of the REINS project, which develops innovative methods and tools
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electronics and computing solutions that solve technology-related challenges in fields such as autonomous robots, drones, IoT, smart grid, and healthcare. The section is a vital component of our educational
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position as postdoctoral researcher for 2 years in the area of computational nanophotonics, with a focus on semi-analytical and numerical methods for treating electron-beam spectroscopies. We are looking
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of Southern Denmark, Denmark. The successful candidates will study the physiology and ecology of microbial key players in global element cycles exposed to oxygen depletion. Aquatic oxygen-depleted environments
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participatory methods to PACA’s overall mission of developing a post-anthropocentric ontology The applicant is expected to hold a PhD degree in the humanities (e.g., literary studies, pedagogy, cultural studies
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in ion transport and (2) using machine learning methods to design protein binders. The incoming postdoc will have the opportunity to mould the project to a significant degree. The candidate should have
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. The project is based on the novel application of formalisms, algorithms, and computational methods from computer science to the modeling of microbial communities, for use in health science. We aim to expand