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application! Work assignments The Division of Automatic Control at the Department of Electrical Engineering invites applications for a postdoctoral position in optimal motion planning and model predictive
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statistics, unsupervised machine learning, optimisation, model predictive control. Experience in financial mathematics. Having high integrity, be process-oriented and able to work independently. Being able
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build the sustainable companies and societies of the future. In line with the green transition and the striving for a sustainable supply of critical raw materials, our research in mineral processing
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We are looking for one postdoctoral researcher to join a research project centred around the theme of controlling photochemical reactivity under confinement. Our group, the Grommet Research Group
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mineralogical characterization, selective flotation with environmentally benign collectors, micro- and nano-bubble technologies, and controlled desliming to enhance recovery. The focus will be on understanding
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crucial role in controlling risk. The project aims to investigate how abrupt changes in dynamics, such as hidden Markov models or statistical jump models, affect the optimal decision-making process for
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inform future multidomain preventive interventions. Your mission In this position, you will take on a broad and responsible role that covers the full research process, from idea generation to publication
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measurement and control platform for optimal island operation of Chalmers’ wind-battery system. Machine learning-based forecasting tools for renewable production using limited local measurement data
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Integrated photonics is a vibrant research field dealing with the generation, processing, and detection of light at the chip scale. Inverse design, the computer-aided automatic design of photonic devices
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in Unix/Linux environments - Experience with bioinformatics pipelines for DNA sequencing data analysis (e.g., variant calling, quality control, data processing) Strong track record as evidenced by one