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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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Postdoctoral studies, employing Bioinformatic gene-expression analysis in Neurobiology (scholarship)
24 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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interact with to facilitate the research process and increase the synergetic effects. You will also have the opportunity to meet other KIRI postdocs, present your work at scientific events, and take part in
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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