63 programming-"https:"-"FEMTO-ST"-"UCL" "https:" "https:" "https:" "https:" "https:" "U.S" "U.S" "St" Postdoctoral positions in Switzerland
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skills in quantitative data collection, management, and statistical analysis Excellent coding and programming skills (e.g., Python, R, Stata) Strong interest in research in the fields of sustainability
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website (https://www.epfl.ch/campus/services/human-resources/en/basic-starting-salary-of-doctoral-assistants-and-postdocs/ ). Opportunity to perform state-of-the-art research in one of the most dynamic
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an option, one of the four reference letters can be about teaching. For more details, please see the website: https://math.ethz.ch/fim/postdocs.html Application Materials Required: Submit
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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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cutting edge research work, develop novel computational tools and integrate new strategies for the safe and sustainable use of chemicals and materials. Your tasks Large-scale data analysis, programming and
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postdoctoral researcher who is eager to contribute to the translation of fundamental research into clinically relevant antimicrobial solutions. Our offer The Biointerfaces Laboratory is located in St. Gallen
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excellent opportunities to establish connections in the local industry. The work will be carried out at Empa St. Gallen under supervision by Dr. Gordon Herwig and Prof. René Rossi. The position is temporary
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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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machine learning techniques. Programming skills in Python and relevant ML frameworks (TensorFlow, PyTorch), experience with version control systems (e.g., Git). Strong publication record in reputable
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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