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Python-based agent pipelines (e.g., LangGraph) and integrate diverse large language models (LLMs) and multimodal vision models. Additionally, you'll build and maintain data flows specifically tailored
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for cancer, as well as metabolic, neurodegenerative, autoimmune, and infectious diseases. Job description PhD and postdoctoral projects will combine catalyst engineering, computational simulation, bioelectrode
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ideal for students with strong technical and organizational skills, particularly those with experience in LaTeX and Python programming. Some background in economics is a plus but not strictly required
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80%-90%, Zurich, fixed-term The Georesources Switzerland Group is part of the Department of Earth and Planetary Sciences at ETH Zurich and conducts applied research in collaboration with the Swiss
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, and/or agency, and/or comparable experience in space-related industry Management experience in a complex and larger project or program, e.g. as PI/Co-PI, project manager Significant personal experience
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, or materials science. Background in solid-state physics and a demonstrated interest in experimental research. Programming for scientific simulations. Proficiency in oral and written English. Additional assets
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to power outstanding events and digital outreach. Requirements A university degree, ideally with exposure to AI topics or international affairs Professional fluency in English; German is an asset Strong
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As a Senior Data Scientist working in the Research team of the Swiss Data Science Center, you will use your expertise in machine learning, statistical data science, computer vision, natural language
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Computer Science, Artificial Intelligence, or related field. Proven experience in machine learning and neural network architectures. Strong programming skills in Python and familiarity with PyTorch. Experience with
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applicants). Experience in complementary fields such as computational modelling, bioelectronics, or materials engineering is advantageous, as is a willingness to acquire new interdisciplinary skills