24 assistant-professor-computer-science-data Postdoctoral research jobs in Switzerland
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Materials science and technology are our passion. With our cutting-edge research, Empa's around 1,100 employees make essential contributions to the well-being of society for a future worth living
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biomedical engineering research. The CPAMS Research Group is looking for a dynamic and independent post-doc interested in computational modelling of cardiovascular and respiratory physiology to improve
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of condensed matter systems, spin qubits, magnetism, spintronics, spin-related phenomena in semiconducting materials, quantum many-body physics, and quantum information and computing, are welcomed to apply
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focusing on infectious and non-communicable diseases, environment, society and health as well as health systems and interventions. The Department of Medical Parasitology and Infection Biology (MPI
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Materials science and technology are our passion. With our cutting-edge research, Empa's around 1,100 employees make essential contributions to the well-being of society for a future worth living
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Your profile Candidates should have an exceptional academic record and a robust mathematical foundation. They should have published works at the main conferences in the field of machine learning, such as ICML, NeurIPS, ICLR, etc. Excellent communication skills and fluency in English (spoken and...
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utilises cutting-edge recording techniques, including two-photon calcium imaging, high-density Neuropixels electrophysiology, and spatial transcriptomics, alongside computational analyses, to uncover novel
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supervision of Prof. Robin Erbacher, and is expected to play a leading role within the endcap muon CSC and/or GEM detector subsystems, both on upgrades and operations. They will also work on CMS data analysis
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Materials science and technology are our passion. With our cutting-edge research, Empa's around 1,100 employees make essential contributions to the well-being of society for a future worth living
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Your profile We are looking for talented candidates with a doctoral degree and a background in microbial ecology, forest biology or something similar. Candidates are expected to have experience in