397 computer-programmer-"https:"-"FEMTO-ST"-"CNRS"-"U" "https:" "https:" "https:" "https:" "https:" positions in Switzerland
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meta-optics have led to an advanced control over light-matter interaction, greatly contributing to different research directions including imaging, nonlinear optics, biosensing and photonic computing
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understanding failure of soft materials, we are seeking a motivated and innovative Postdoctoral Researcher with a strong background in computational solid mechanics and fracture/damage modeling. The Postdoctoral
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. You have the main responsibility for 1-2 such case studies (one of them in Switzerland) and will be advising the scientists across the project on the computational modeling, which will be based
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experts in the fields of clinical research, infection biology, engineering, chemistry, computation, and pharmacology. Researchers from the Biozentrum of the University of Basel, the Department
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in vivo imaging and computation, and in vivo molecular biology, where the Postdoc position (LBB, ETH Zurich) will be focusing on the further development of our multiphoton intravital imaging technology
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The Computational Mechanics Group in the Department of Mechanical and Process Engineering of ETH Zurich is seeking one doctoral student. The position is funded by the SOFRA(CT) project and aims
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research. Your position Design, implement, and evaluate large-language-model (LLM) pipelines for synthetic data (fine-tuning, retrieval-augmented generation [RAG], prompt engineering). Plan and analyze
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Postdoctoral position is available in the Functional Inorganic Materials Group (KovalenkoLab) at ETH Zurich, Department of Chemistry and Applied Biosciences. The project aims to develop a conceptually new type of image sensor based on perovskite materials. Related publications: 1. Tsarev, S., et...
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The Quantum AI lab at ETH (Prof. Juan Carrasquilla ) invites applications for postdoctoral positions to work at the intersection of computational quantum many-body physics, automated scientific
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of adaptive radiation and associated key innovations in the evolution of freshwater diatoms. By integrating morphology, physiology, genomics, transcriptomics, and computational modeling, we aim to (i) determine