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of the transport system", is a strategic initiative by the Swedish government, aimed at strengthening research and educational environments within battery technology and electrification. Within
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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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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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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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, led by Saida Hadjab. Our group focuses on uncovering the molecular and cellular mechanisms that maintain sensory system homeostasis, and how disruptions in these processes contribute to sensory
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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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for data-driven models and high-dimensional data. The position is full-time for two years, starting on 12th January 2026, or as agreed upon. The Department of Computing Science at Umeå University is an
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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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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