17 model-predicative-control Postdoctoral positions at Chalmers University of Technology
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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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We are looking for a postdoc to join our team at the Division of Engineering Materials at Chalmers University of Technology . The research will focus on the use of magnetic fields to control
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Join us to pioneer next-generation generative models that accelerate molecular dynamics. We seek a postdoctoral researcher to develop AI surrogates for molecular dynamics (MD), slashing
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We are seeking a highly motivated and skilled Postdoctoral researcher with interdisciplinary expertise to develop risk assessment and mitigation models using Large Language Models (LLMs
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to emerging digital technologies Interplay between technology development and business model evolution - how advancements in technologies reshape value creation and value capture, necessitating continous
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30 Aug 2025 Job Information Organisation/Company Chalmers University of Technology Research Field Engineering » Control engineering Researcher Profile Recognised Researcher (R2) Country Sweden
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. This unique position combines advanced finite element modeling, machine learning, and experimental studies, while offering the opportunity to contribute to open-source libraries and collaborate directly with an
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within Chalmers and internationally. Chalmers is an employer that actively promotes equal opportunities for women and men. Project overview The project concerns applying supervisory control theory
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modeling, machine learning, and experimental studies, while offering the opportunity to contribute to open-source libraries and collaborate directly with an innovative startup partner. You will be
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propagation problems, stochastic partial differential equations, geometric numerical integration, optimization, biomathematics, biostatistics, spatial modeling, Bayesian inference, high-dimensional data, large