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learning and simulation-based inference for searches for dark matter (or other “invisible” new physics signals) at the Large Hadron Collider, with the support of competent and friendly colleagues in
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Research (CGR) Lab , within the Data Science and AI division, Gothenburg, Sweden. About us The Department of Computer Science and Engineering , a joint department of Chalmers and the University of Gothenburg
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Systems and Software Program (WASP ). You can find more information about us on the Department of Information Technology website. The position is hosted by the Division of Scientific Computing (TDB), one
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Institute (MBW) experimentally addresses fundamental problems in molecular cell biology, integrative biology, and infection and immunobiology. State-of-the art and advanced methodologies are applied in a
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experimental and computational methods to identify molecular mechanisms leading to dysfunctional cellular states in human disease (www.camunaslab.org ). The candidate will contribute to the improve Slice-seq, a
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KTH Royal Institute of Technology, School of Engineering Sciences Job description The AICell Lab (https://aicell.io ) in the department of Applied Physics at KTH and Science for Life Laboratory is a
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on development of novel computational methods with state-of-the-art machine learning for gaining fundamental insights into healthy and diseased human tissues of the heart, cardiovascular system, and
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Join us! The Department of Materials Science and Engineering aims to be an environment for successful and valuable research and education with a focus on materials science solutions for important
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to collaborative projects / grant writing. The Barriga lab are a multidisciplinary group combining biology, physics and chemistry to advance our understanding of biological processes with a specific focus on
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binding with simulations and quantitative modeling to gain a physical understanding of life at the molecular level. We are recruiting a Postdoc that wants to use and develop state of the art methods