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Laboratory. This is an opportunity to be part of a team helping with the design of new system software and runtime infrastructure to improve the performance and energy efficiency of future scientific computing
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in GPU programming one or more parallel computing models, including SYCL, CUDA, HIP, or OpenMP Experience with scientific computing and software development on HPC systems Ability to conduct
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++/Python/CUDA programming for real-time image processing. Experience in MRI pulse sequence programming, ideally on Siemens MRI platforms. Experience in MRI image reconstruction; motion and distortion
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tissues in both a membrane bound and secreted form. The secreted mucins are major components of the protective mucus barrier. Even if the mucus clears the majority of invading pathogens, bacteria and
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between models and experiments), Developing empirical force fields Developing scientific software and workflows Experience in programming for HPC environments, including MPI, OpenMP, or CUDA
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. This position is part of the projects PROCESSOR – Phosphorus recycling from complex scarcely soluble societal resources – letting the soil do the work, a collaborative research project. CRUCIAL - Closing
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concerns an integrative effort where several cryo-EM structures are used to develop donor and acceptor labelled proteins and complexes to follow their large scale rearrangements by single-molecule
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Two year postdoc position at Aarhus University for single molecule FRET based investigations of l...
concerns an integrative effort where several cryo-EM structures are used to develop donor and acceptor labelled proteins and complexes to follow their large scale rearrangements by single-molecule
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tasks include development of adequate single-molecule labeling strategies, optimized use of high-precision MINFLUX microscopy, and establishing methods for data precision analysis. What we offer A
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, the research group has a strong program in the synthesis and application of chemical probes in complex biological systems, with an emphasis on measuring probe labeling and phenotype-driven cell selection using