310 computer "https:" "https:" "https:" "https:" "UCL" "UCL" "UCL" research jobs in Sweden
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complex biological processes. This project combines timely analytical challenges with deep rooted applications in life science. We are looking for a candidate with a PhD in either engineering/computer
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travel combustion engines. The research involves computational thermodynamics (CALPHAD), high-throughput computational screening methods for alloy design, experimental alloy production (casting and/or AM
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Computational Physics, Biophysics, and Plasma and Space physics. The Department is now seeking a postdoctoral researcher for a project that aims to develop luminescent carbon dots for light-emitting applications
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· Perform computational analyses to investigate gut microbiota composition The selected candidate will use a combination of animal and in vitro studies to reach these aims. Work tasks also include designing
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program based in Sweden that been systematically mapping the localization of human proteins in cells, tissues and organs during the past 20 years. For this project, we map the subcellular distribution
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position, the following shall form the assessment criteria: A good ability to develop and conduct high quality research. Teaching skills. Other qualifications: Experience from computational fluid dynamics
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several industrial and academic partners. The candidate will work with high-performance computing resources (NAISS) and advanced CFD tools, primarily OpenFOAM, with the possibility to use Nek5000 or LBM
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supervisors, aligning with your expertise and the needs of the program. Core tasks include study design, data acquisition, analysis, and interpretation of imaging data. Work responsibilities An appointment as a
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Description of the workplace At the Faculty of Medicine, Lund University, the successful candidate will join a highly interdisciplinary research environment at the interface of translational cancer biology, analytical chemistry, evolution, and data science. The workplace offers access to...
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strategies. The research group focuses on exploration of tumor immune microenvironments through spatial omics and imaging, development of computational models for prediction of molecular and clinical features