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Assistant Professor in artificial intelligence (AI) with a focus on precision medicine (PA2025/1776)
of both artificial intelligence (AI) and life science opens completely new possibilities for prevention of disease, disability and premature death. It is well-known that common complex diseases have
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, Assistant Professor, Chemical Biology holmema@chalmers.se +46 761593003 *** Chalmers declines to consider all offers of further announcement publishing or other types of support for the recruiting process in
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Description of the research group The Molecular Neuroanatomy research group at the Department of Experimental Medical Sciences within the Faculty of Medicine conducts research in molecular and
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methods that use light to explore biological systems and processes at the molecular, cellular, and tissue levels. It includes experimental light microscopy and image analysis, such as super-resolution and
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course catalog and you will have the opportunity to participate in teaching at advanced level (PhD level and up). Requirements PhD in Bioinformatics, Computational Biology, Computer Science, or a related
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courses at Karlstad University are offered as both on-campus and distance. The MSc in Chemical Engineering program focuses on developing new materials and sustainable manufacturing processes. The department
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consist of the following: Mathematical analysis of ecological and eco-evolutionary models, involving pencil-and-paper calculations; Computer simulations of more complex models which do not easily lend
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computational costs by orders of magnitude and enabling breakthroughs in drug design and materials science. The position bridges machine learning and molecular science, with opportunities for collaboration
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science more generally with managing data, software, tools, and support on nationally and internationally available computational resources, including the new AI Factories and EuroHPC resources, at NAISS
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-based methods to improve cancer therapy Your profile Qualifications PhD in bioinformatics, computer science, biology, medicine, or mathematical statistics. Experience in cancer research and analyses