10 computional-geometry-algorithm Postdoctoral research jobs at University of Lund in Sweden
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for computational analyses. Use of software and applications for modelling in development cohorts and testing in validation cohorts. Development of predictive software and, in collaboration, management of the group’s
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management systems, particularly through the fabrication of mini- and micro-channels with complex internal geometries. However, AM-generated surfaces exhibit significant and highly irregular roughness, a key
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components. This specific postdoctoral project aims to develop methods for designing 2D protein lattices that serve as scaffolds for attaching other protein assemblies with precise geometry, thereby creating
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cluster is part of The Wallenberg AI, Autonomous Systems and Software Program – Humanity and Society (WASP-HS), which is a national research program in Sweden. The vision of WASP-HS is to foster novel
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phase-matching regimes, design innovative gas targets and laser-driven generation geometries to increase XUV yield. Successful achievement of these goals promises to revolutionize XUV light generation in
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AI, Autonomous Systems and Software Program – Humanity and Society (WASP-HS). The position is a career development post, and its purpose is to act as an initial step on a career path by providing
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criteria: Documented knowledge, preferably from his / her university education, is required in: mathematics, especially differential equations; numerical methods and computer programming; physical
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, and is financed by SciLifeLab and the Wallenberg National Program for Data-Driven Life Science (DDLS) and the Wallenberg AI, Autonomous Systems and Software Program (WASP). Work tasks and
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Lund University was founded in 1666 and is repeatedly ranked among the world’s top universities. The University has around 46 000 students and 8 500 staff based in Lund, Helsingborg and Malmö. We are united in our efforts to understand, explain and improve our world and the human condition. The...
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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