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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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Postdoctoral studies, employing Bioinformatic gene-expression analysis in Neurobiology (scholarship)
23 Aug 2025 Job Information Organisation/Company Karolinska Institutet (KI) Department Karolinska Institutet, Department of Neurobiology, Care Sciences and Society, Division of Clinical Geriatric
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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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into consideration. The following education, experience, and expertise are required: A PhD in biomedical engineering, (bio-)physics, applied physics, materials science, (organic) chemistry, or equivalent Electrical
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part of our values. For information about processing of personal data in the recruitment process. It may be the case that a position at KTH is classified as a security-sensitive role in accordance with
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control, management, and archival storage; analyzing large-scale datasets, developing code, and creating novel tools and methods for advanced data analysis; supporting ongoing research activities
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specializing in various aspects of fluid dynamics, heat transfer, and multi-physics problems, all working toward sustainable solutions to contemporary challenges. Our facilities are equipped with state
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of Physics, Umeå University (nicolo.maccaferri@umu.se ) Magnus Andersson, Department of Physics, Umeå University (magnus.andersson@umu.se ) (C) Financial risk management and decision making in biodiversity
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the Swedish Knowledge Foundation. In this position, you will belong to a research group with six senior researchers and several PhD students. The research focuses on managing data and information essential
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The Department of Technology Management and Economics seeks a highly motivated and ambitious postdoctoral researcher whose work bridges scholarly rigor with real-world impact at the nexus