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scientific computing, image analysis and research infrastructures, you will collaborate closely with scientists, software engineers, beamline scientists and computing specialists across the European
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tightly coupled to GPU-accelerated high-performance computing using Lund University’s national e-infrastructure. You will join an interdisciplinary research environment that values scientific independence
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courses at the department each year. 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
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Information Technology website. The position is hosted by the Division of Scientific Computing (TDB), one of the world’s largest research environments in computational science, with large activities in
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cell- and module level. Particular emphasis will be placed on leveraging modern heterogeneous computing architectures to enable large-scale, high-fidelity reacting-flow simulations. The models developed
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partners. Tasks and responsibilities You will conduct computational research involving Python programming and high-throughput protein structure prediction using high-performance computing infrastructure
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The Department of Computer Science and Engineering , a joint department of Chalmers and the University of Gothenburg, spans the breadth of computing disciplines. Our internationally visible research
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- Control of Communication networks - Markovian Processes - Network Based Localisation / Radio based connectivity - Adaptive bandwidth - Mesh networking - Wireless Sensor Networks - Edge Computing
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scientific computing and experience with time-stepping methods and the finite element method (FEM), preferably applied to fluid dynamics, solid mechanics, or other moving-boundary problems. Prior
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experience with R and/or Python language, bash shell environment, high performance computing, next-generation sequencing data analysis, and single-cell analysis workflows 2 – Communication and team work