75 phd-mathematical-modelling-population-modelling Postdoctoral positions in Switzerland
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- ETH Zürich
- Empa
- University of Basel
- Swiss Federal Institute for Forest, Snow and Landscape Research WSL
- ETH Zurich
- EPFL - Ecole Polytechnique Fédérale de Lausanne
- EPFL FSB
- Nature Careers
- Academic Europe
- EPFL - Ecole polytechnique fédérale de Lausanne
- European Magnetism Association EMA
- University of Bern
- University of Lausanne;
- Universität Basel
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modelling, structure biology and chemistry. Your profile PhD in Molecular Biology, Microbiology, Biochemistry or Structural Biology with research experience in any of these areas. You are highly motivated
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holds a PhD in Biochemistry, Molecular Biology, Immunology or another relevant Life-Science degree. Expertise in immunology, allergy, FACS (analysis and cell sorting), and mouse models is required
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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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skills in programming, modelling, and data analysis. Experience in formulating and solving mathematical optimization problems, as well as working on real-world demonstrators, is an asset. Proficiency in
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computational models and collaborate closely with lab teams. Publish research findings, present at conferences, and support PhD students. Help shape new research proposals and assist in securing funding. Your
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modelling and AI/ML for the quality monitoring/control, at the end offering to the society novel nanostructured materials, their shape-forming and integration into devices. Your tasks We are seeking a highly
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project interfacing research and industrial needs, we are looking for a postdoc holding a PhD in material science, physics or chemistry, with a clear link to X-ray based analytical methods, especially to X
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on their background and interests. Profile • PhD in Mathematics (to be completed by the start of the position) • Strong research record in stochastic analysis, probability theory, or closely related areas • A strong
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-collection costs while maintaining validity for marketing and opinion research. Design, implement, and evaluate large-language-model (LLM) pipelines for synthetic data (fine-tuning, retrieval-augmented
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Swiss Federal Institute for Forest, Snow and Landscape Research WSL | Switzerland | about 2 months ago
data identifying the most resilient and high-performing plant species. Measurements and analyses will be conducted at multiple sites across the EU and integrated with soil-plant-atmosphere modeling