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within various scientific and engineering disciplines, including ground-based, airborne, and satellite measurements, numerical modelling, and data analysis. The division's goals are to enhance
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in building software systems beyond scripting (e.g., API design, modular architectures, version control). Familiarity with omics data analysis (transcriptomics, proteomics, or related), including
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, such as learning analytics (from e.g. click-stream data, eye tracking, screen capture etc.), surveys, or other large-scale data analysis. However, we also welcome qualitative or mixed-method approaches
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within various scientific and engineering disciplines, including ground-based, airborne, and satellite measurements, numerical modelling, and data analysis. The division's goals are to enhance
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-scale data analysis. However, we also welcome qualitative or mixed-method approaches that can provide rich, contextualized insights into how AI technologies influence learning, cognition, and teaching
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Physical Vapour Deposition processes such as magnetron sputtering Scripting in python or equivalent languages for data analysis Strong publication record in peer-reviewed journals What you will do Perform
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Are you interested in developing machine learning algorithms that provably help us make better decisions? Join us as a post-doc in the Division of Data Science and AI, Department of Computer Science
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to applied projects linked to societal needs. Key areas include computational mathematics, optimisation, biomathematics, statistics, and data science, supported by an active PhD programme. Our
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6 Feb 2026 Job Information Organisation/Company Chalmers University of Technology Research Field Chemistry » Molecular chemistry Chemistry » Physical chemistry Chemistry » Other Engineering
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made Solid background in mathematics, physics and programming Experience in processing or analysis of synthetic aperture radar data You will need strong written and verbal communication skills in English