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employment for two years with the possibility of a one-year extension. The position requires physical presence throughout the entire employment. A valid residence permit must be presented by the start date
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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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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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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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security. As a postdoctoral scholarship holder, you’ll be involved in building upon our lab's established computational frameworks — Plant-LncPipe, PlantLncBoost, and Plant-LncRNA-pipeline-v2 — to develop
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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
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for the scholarship period. Selection process The following documents (in pdf-format) must be submitted when applying for a scholarship Cover letter, max 1 page, describing your background, research interests and what