19 modelling-complexity-geocomputation Postdoctoral positions at Chalmers University of Technology in Sweden
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amplifier performance. By combining advanced device measurements, empirical modeling, and power amplifier design, this project will generate new insights into the material, process, and design factors
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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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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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language model–driven agents to autonomously configure and deploy 6G and cloud functions. The project leverages digital twin environments and validation frameworks to ensure reliable, secure, and