17 computer "https:" "https:" "https:" "https:" "University of St" positions at Nature Careers in Switzerland
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of material science. Examples are the use and development of muon instrumentation for the study of quantum and energy materials. The research program of this new professorship will be able to take advantage
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, neurocomputational principles of learning/memory systems supporting language. Applications from candidates whose research creates other meaningful connections between computational neuroscience and language are also
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The Department of Physics (www.phys.ethz.ch) at ETH Zurich invites applications for the above-mentioned position. The professorship should focus on the realization of materials and devices for photonics, electronics, and quantum technologies. Emphasis should be placed on novel physical...
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project aimed at advancing our single-cell ribosome profiling technologies in cancer. For further information about the lab, please visit https://www.sendoellab.org/. The Institute for Regenerative Medicine
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We are looking for a highly motivated postdoctoral researcher to join our lab of neuroepigenetics at EPFL (http://graefflab.epfl.ch/) ! The focus of the lab are the epigenetic underpinnings
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, reliability, and robustness of RAI. The successful candidate must be an outstanding researcher in their field of computer science, machine learning, AI, applied mathematics or statistics with a proven track
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subsequently into models of antibiotic responses, with direct relevance for drug development and patient treatment. We (boecklab.com ) are looking for a scientist who will define the computational backbone
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multiple AI fields, including machine learning (including deep learning, foundation models or agentic AI), human-centered AI (including social computing, multi-modal processing or robotics), digital security
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competitive research program in molecular immunology, with a potential for therapeutic translation. The professorship focuses on understanding how the immune system interacts with diverse tissue environments
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of Immune Engineering (BIIE), which aims to develop innovative computational and immune-based solutions for pressing health challenges, particularly those affecting children and adolescents, and encourages