69 phd-mathematical-modelling-population-modelling Postdoctoral positions in Switzerland
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- Empa
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- EPFL - Ecole Polytechnique Fédérale de Lausanne
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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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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
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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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innovative, interdisciplinary projects. Using both in vitro and in vivo models, the successful candidate will perform functional validation of candidate genes and advance our mechanistic understanding
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quality insurance. The lab combines additive manufacturing, large scale laser micro-processing, multiscale modelling and AI/ML for the quality monitoring/control, at the end offering to the society novel
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for the researcher to follow their own research interests. Candidates will be expected to actively contribute to all departmental activities. Profile: - A formal requirement for the position is a PhD in mathematics
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thinking with renewable energy community planning, developing methodological innovations that bridge quantitative modeling and qualitative approaches. Your tasks Develop and apply optimization and simulation
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responsibility for our unique GPU-accelerated 3D FDTD software suite and extending its capabilities Modelling the effects of atmospheric turbulence fields Software development (3D modelling and coding in Python, C
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culture experiments (in vitro), followed by experiments using murine models (in vivo ). Your profile • You obtained a PhD degree in cell biology (or equivalent) in the past 12 months and have a strong
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pneumoniae and Acinetobacter baumannii. You will be working in a trans-national research consortium including experts in structure-based modelling, structure biology and chemistry. PhD in Molecular Biology