155 coding-"https:"-"Prof"-"FEMTO-ST" "https:" "https:" "https:" "https:" "https:" "https:" "P" "Dr" positions in Switzerland
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; working knowledge with research data management according to the FAIR principles and corresponding software systems (e.g., openBIS); hands-on experience with best practices for code management and
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and training machine and deep learning models using Keras/TensorFlow and/or PyTorch, supported by experience in statistical data analysis. You have experience with collaborative coding practices
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actively promote gender equality and foster an open, inclusive work environment. For further information, please contact Dr Valentina Vitali, ETH Zurich (valentina.vitali@usys.ethz.ch ). Start Date: February
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affiliation. The position is available immediately or upon agreement. For further information about the position, please contact: Dr Claudio Mucignat , Scientist and Principal Investigator, or Dr Ivan Lunati
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postdoctoral researchers will join the group of Dr. Chiara Caprini and will focus their research respectively on: The generation, evolution, and properties of primordial magnetic fields at the electroweak energy
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code, clear README, etc.). We will provide you with guidance for the implementation, but independent work, in general, is required and appreciated. The workload consists of up to 15 hours per week during
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information, please contact Dr Strocov Vladimir, phone +41 56 310 53 11, email vladimir.strocov@psi.ch. Please submit your application online by 31 March 2026 (including list of publications and addresses
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-based therapies for cartilage repair in orthopedic, spinal, and reconstructive surgery. As part of this effort, the Intervertebral Disc Research Unit (Dr. Olga Krupkova) at USB, is seeking a motivated and
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will not be considered. Further information about the RELab and optohive can be found on our website or Linkedin . Questions regarding the position should be directed to Dr. Dominik Wyser, dominik.wyser
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Ideas, SBB, and gfs.bern, you will collaborate with Dr. Andrea Bublitz to develop and validate LLM-assisted pipelines that reduce data-collection costs while maintaining validity for marketing and opinion