42 parallel-processing "Flow Analysis and simulation Team" Postdoctoral positions at EPFL
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our project The Chair of Numerical Modelling and Simulation at EPFL is dedicated to the design and analysis of numerical algorithms for partial differential equations. Our research is oriented
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experimental systems, physiological sensing, signal processing, human movement analysis, computational neuroscience, biomedical engineering, data science, and/or advanced quantitative behavioral
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of Particle Accelerator Physics ( LPAP ) is seeking a Postdoctoral Researcher to join our interdisciplinary team focused on developing a robust optics configuration and beam-beam collision scheme for
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scientific excellence in the areas of vector query processing, serverless/just-in-time query execution, parallel and distributed data management, and data management systems on emerging hardware Passionate
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): Familiarity with Network Interface Cards (NICs) or packet processing (eBPF, XDP). Experience bringing up custom hardware boards. We offer A stimulating and international working environment Competitive
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experience in single-cell analysis and/or antibody discovery Good knowledge of single-cell RNAseq workflows such as 10X genomics or DropSeq, experienced in flow cytometry Good knowledge in cell biology and
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EPFL, the Swiss Federal Institute of Technology in Lausanne, is one of the most dynamic university campuses in Europe and ranks among the top 20 universities worldwide. The EPFL employs more than
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complex environments. Specifically, we are looking for Postdoctoral scientists to perform microscopy-based neural recordings in behaving flies, computational analysis, and, if interested
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generative AI, such as diffusion models, flow matching, normalizing flows, VAEs, generative transformers, or related methods. Strong programming skills and experience with modern deep learning
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Computational Neuroscience and AI (CNAI), led by Professor Alexander Mathis, is seeking two postdoctoral fellows to join our team working at the intersection of artificial intelligence and neuroscience