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engineering Engineering » Other Physics » Thermodynamics Technology » Energy technology Researcher Profile Recognised Researcher (R2) Country Sweden Application Deadline 30 Sep 2025 - 21:59 (UTC) Type
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Machine Learning Integration Develop and implement machine learning algorithms to enhance the design optimization process Create predictive models using Python-based frameworks (e.g. scikit-learn, PyMC
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curious and motivated postdoc with a PhD in biomedical engineering, physics, materials science, organic chemistry—or similar—and a drive to explore new frontiers in science. 👉 Learn more and apply here
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biological systems and processes at the molecular level. The focus is on experimental and theoretical studies of the physical properties of proteins in solution. We have state of the art facilities for protein
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The Royal Institute of Technology (KTH), Theoretical Physics Position ID: The Royal Institute of Technology (KTH) -Theoretical Physics -POSTDOC20253 [#29689] Position Title: Position Type
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of Science research and education is conducted within Biology, Astronomy, Physics, Geosciences, Chemistry, Mathematics and Environmental Sciences. The Faculty of Science is organized into eight departments
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leave, sick leave, or military service. Contract terms The position is a temporary full-time employment for two years with the possibility of a one-year extension. The position requires physical presence
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with technology facilities (national and international) and the clinic, as well as on genuine enthusiasm for the topic and methodology. Application process: The application must contain the following documents in
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continuously work to create conditions for job satisfaction, growth, and participation for everyone. We care about both physical safety and the psychosocial work environment. Project description We are now
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algorithms to enhance the design optimization process Create predictive models using Python-based frameworks (e.g. scikit-learn, PyMC) to accelerate design iterations Integrate ML approaches with finite