54 parallel-computing-numerical-methods "Institute of Computer Science" positions at Umeå University
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program at Umeå University is based at both the Department of Molecular Biology and the Department of Chemistry. We now have two open amanuensis positions at 10% of full time, one will be positioned
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educational programs in Computer Science, we are now seeking 1-2 PhD Students with a focus on Cryptography and Cybersecurity. The Department of Computing Science at Umeå University is an international
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education to enable regions to expand quickly and sustainably. In fact, the future is made here. IceLab and the Department of Computing Science Umeå University's interdisciplinary research hub, IceLab
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at the Department of Computing Science. The position offers an opportunity to establish your research group and develop your independent line of research aligned with the Center’s theme. Join our supportive
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or background knowledge about EM data collection (SEM, TEM and/or Cryo-EM) for life science research projects are important to understand the computational methods. Extensive (3+ years) experience of applying and
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Formas, which 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
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, ROS) Solid skills in numerical analysis Advanced knowledge of computer vision Experience in human–robot interaction Particularly Meritorious It is particularly meritorious if the applicant has: A PhD
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research in condensed matter physics, nanotechnology, photonics, ultrafast spectroscopy, and theoretical and computational physics. We announce a PhD position within the Marie Skłodowska-Curie Doctoral
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both method development and empirical research, the latter in collaboration with scientists from other departments. We offer a research environment with access to national and international networks. Our
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Computer Science, or another subject of relevance for the project. Documented knowledge and proven research experience in the area of designing algorithms and methods for data privacy and machine learning is