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experimental research-based technology integration, modeling, control, and data-driven analysis and toolset development. Here is the chance to work in a pleasant team atmosphere, dive into research and at
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The Department of the Built Environment (BUILD) at The Technical Faculty of Engineering and Science invites applications for a position as postdoc in the field of data-driven
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(e.g., based on physiological signals or direct inputs from occupants) and developing algorithms, including machine learning methods. The work will include statistical modelling, data-driven modelling
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Job Description These days, the inner workings of molecules and materials can be probed and modelled by advanced simulation tools on modern computer architectures. However, the routine applications
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of software engineering techniques to ensure interoperability of their modelling and mining ecosystem. This position will run from October 2025 (or shortly after) and it has an expected duration of 24 months. A
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) including advance SAXS data analysis and modelling . The following qualifications are also important: Have a good understanding of advanced physical-chemical analytical techniques Experience with in-house