79 computer-programmer-"https:"-"CEA-Saclay" "https:" "https:" "https:" "https:" "https:" "UCL" research jobs in Switzerland
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- University of Basel
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interdisciplinary project on the development of new computational approaches for improving safety and sustainability of (nano)materials based on publicly available data and tools, including omics data, and
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, presentations and scientific publications Your profile You have a PhD degree (or equivalent) in Acoustics or Electrical/Mechanical Engineering or Computer Science. Experience with scientific computing in Matlab
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year, with the possibility of renewal for up to 4 years. We offer Competitive salary and excellent working conditions – more information can be found on our website (https://www.epfl.ch/campus/services
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carrying out its current research projects in financial economics and in preparing teaching materials. Your profile You are a student enrolled in a bachelor's or master's program with a strong interest in
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computer scientists, experimentalists and clinicians. You will be involved in cross-disciplinary collaborations and have training opportunities to further develop and grow your scientific interests. Access
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responses approximate human behavior. The project involves a collaboration between behavioral and computer scientists. The ideal candidate has some knowledge in both areas, and the specific behavioral domain
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to support a circular bioeconomy. We are seeking a highly motivated postdoctoral researcher to develop and apply machine‑learning and data‑science methods, with a focus on computer vision, to enhance wood
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computational modelling of the electronic structure of nitride systems. You will be embedded in a vibrant scientific community at PSI, exploring solid-state systems through a variety of complementary techniques
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acknowledge care work, part-time employment, or career breaks and consider applications proposing joint research in job-sharing. With its early-career fellowship program, the Collegium nurtures an environment
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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