60 computer-science-programming-languages-"Prof.-Dr"-"Prof" Postdoctoral positions in Switzerland
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Switzerland Application Deadline 31 Oct 2025 - 23:59 (Europe/Zurich) Type of Contract To be defined Job Status Full-time Is the job funded through the EU Research Framework Programme? Other EU programme Is the
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Swiss Federal Institute for Forest, Snow and Landscape Research WSL | Switzerland | about 1 month ago
Temporary Job Status Full-time Is the job funded through the EU Research Framework Programme? Not funded by a EU programme Is the Job related to staff position within a Research Infrastructure? No Offer
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Framework Programme? Not funded by a EU programme Is the Job related to staff position within a Research Infrastructure? No Offer Description Materials science and technology are our passion. With our cutting
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Framework Programme? Not funded by a EU programme Is the Job related to staff position within a Research Infrastructure? No Offer Description Postdoc in Tree Physiology and Forest Acclimation to a Changing
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laser processing and to bring your ideas in AI/ML to the technology level. You have a solid background in programming (deep learning, reinforcement learning, etc.), electronics, high-speed data
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31 Oct 2025 Job Information Organisation/Company Empa Research Field Computer science » Programming Computer science » Other Engineering » Control engineering Researcher Profile Recognised
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by a EU programme Is the Job related to staff position within a Research Infrastructure? No Offer Description Materials science and technology are our passion. With our cutting-edge research, Empa's
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Your position In an interdisciplinary project supported by a Sinergia grant of the Swiss National Science Foundation, we investigate the molecular underpinnings of gene regulation in muscle
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programming will be considered and advantage. We are looking for a highly motivated team player that is curious to learn new things, is self-motivated, and has excellent English communication and writing skills
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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