74 phd-mathematical-modelling-ecological-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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. - The anticipated start date is 1 September 2026, with some flexibility upon agreement. - A PhD in Mathematics (completed by the start date) is required. Profile We welcome applications from highly motivated
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Laboratory is offering a Postdoc position focused on the development of in vitro simulation models for performance evaluation of antimicrobial coatings. This project aims to tackle the growing challenge
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understanding of WS/DP adsorption to solid–water interfaces, including soils, sediments, sludge, and model mineral/organic surfaces. Experimental studies will investigate polymer–surface interactions, adsorption
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biology to create next-generation disease models. In collaboration with ETH Zürich (Prof. C. Halin) and the University of Bern (Prof. C. Bourquin), this project aims to advance understanding of the human
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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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at ETH. Contribute to activities associated with the COSTAction. Profile PhD in forest ecology, plant physiology, environmental sciences, or a related field. Strong background in dendrochronology, stable
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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