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time-series data Experience of high-performance computing, GPU-based computing, or parallel programming Experience of probabilistic modelling or inverse problems Experience of developing and
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, and international collaborators. The work will involve large 3D datasets and reproducible computational workflows, including scripted quality control and, when appropriate, parallel processing on high
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-impact work Familiarity with Git and GitHub Competence using Linux-based high-performance parallel computing systems The assessment of applicants will primarily be based on their scientific merits and
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aims to turn HTC filtrate from a problem into a resource. In parallel, the filtrate is used as substrate for microbial production of biodegradable plastics (PHA) together with our partners at Karlstad
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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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in English. Strong collaborative skills and the ability to work systematically with several stakeholders and parallel activities. The following experience is particularly advantageous: Implementation
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transcription such as ChIP and RIP-seq you are self-motivated, persistent and collaborative with an analytical mind and capacity to structure more than one project in parallel you have the ability to
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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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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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computing. With expertise in optoelectronic devices, ultrafast optics, and fiber optical communication - from long-haul transmission to datacenter interconnects - we tackle real-world challenges at