16 modelling-complexity-geocomputation Postdoctoral positions at Chalmers University of Technology in Sweden
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star formation rate models. Working with survey databases, handling large and complex datasets, and integrating data from multiple instruments. Data analysis and programming, including statistical
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, energy harvesting and storage, and optics. From AI modelling of materials and biological complexity to the design of multifunctional micro- and nano systems, we combine theory, fabrication, and innovation
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learning, AI, or statistical modeling. Proven ability to handle large and complex datasets, including preprocessing and integration. Strong programming skills (e.g., Python, R, MATLAB, or similar
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numerical simulation of models for magnetised fluids. About us This position sits right between two research groups at Chalmers: the Plasma Theory group at the Department of Physics and the Geometry and
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. Research topics include: Development and validation of DORIS data processing and modeling Implementation of improved models for DORIS satellites and ground systems Cross-analysis of DORIS and other geodetic
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We are looking for a highly motivated and skilled Postdoctoral researcher with cross-disciplinary expertise to help develop a digital twin ship simulation model for autonomous shipping in restricted
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standards. About the research project The postdoctoral project will focus on precision tests of low-energy strong interactions via the ab initio modeling of open-shell, nuclear many-body systems and Bayesian
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microbiology assays, protein purification and biochemical assays. You will work with infection models, MS-proteomics analyses and advanced microscopy. In this role, you will belong to an interdisciplinary group
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assays. You will work with infection models, MS-proteomics analyses and advanced microscopy. In this role, you will belong to an interdisciplinary group at Chalmers, and will regularly interact with
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, we observe what is happening on Earth today and develop methods, tools and models that enable us to look towards the future and find solutions to global challenges about resources, energy supply and