212 computer-programmer-"https:"-"U"-"UCL"-"https:"-"https:"-"https:"-"https:"-"P" positions in Switzerland
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The primary focus of this position is the project-specific analyses of diverse high-throughput multi-omics datasets, encompassing a broad range of data types such as whole-genome and transcriptome sequencing, single-cell, and spatial data. As a Senior Bioinformatics Analyst, you will play a key...
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. Annalisa Manera. Our lab specializes in both experimental and computational studies of multiphase flows and thermal-hydraulic phenomena in nuclear systems. We develop advanced measurement techniques, perform
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in PBF of plastics (whole chain). Develop and test new materials, additives, and processing strategies including printing & testing of parts. Plan and execute laboratory experiments (incl. DoE) with
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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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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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. 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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the ITS section Scientific IT Services the group Computational & Data Science Support (CDSS) aims at bridging the gap between computational research and IT services and infrastructure provisioning. We
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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