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features. No cookies to display. Reject Save My Preferences Accept Skip to content Postdoc in Bioinformatics and Machine Learning Chalmers Share: Facebook Twitter LinkedIn Email Application deadline
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biomedical data from patients with pancreatic cancer and other aggressive tumor types. The work includes statistical modelling, machine-learning and systems biology approaches to identify drivers of
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Information Technology Are you interested in working with probabilistic machine learning for the next generation of AI models – uncertainty-aware foundation models, generative models and world models
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Information Technology Are you interested in working with machine learning and simulation-based inference for searches for dark matter (or other “invisible” new physics signals) at the Large Hadron
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record of publications at leading venues in social science, machine learning, natural language processing, statistics, or computational social science is highly meritorious. You are a self-driven and
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Join us in designing stable materials for sustainable energy devices with machine-learning-accelerated simulation and modeling. Work assignments The postdoctoral researcher will develop machine
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formulation, molecular-level characterization, and machine learning to develop predictive models linking chemical descriptors to adhesive properties. The work includes the development of a structured
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, hydraulics/hydrology, thermodynamics (e.g. heat transfer processes) - experience of sensor-based monitoring, field sampling, machine learning, programming as well as working with large environmental
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. - Contribute to method development for applying Cell Painting to suspension cells and to machine- learning models for TP53 variant classification. Extent of tasks Roughly 70–80% experimental/wet-lab work
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as a workplace and living in Jönköping. Qualifications We are seeking a candidate who: has been awarded a doctoral degree in Computer Science, Informatics, Cybersecurity, AI, Machine Learning (ML