52 parallel-and-distributed-computing-phd-"Multiple" positions at Umeå University in Sweden
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for a PhD position in plant science with focus on photosynthetic water oxidation. The expected starting date is October 1, 2025 or according to agreement. Umeå Plant Science Centre (UPSC) is one
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the Laboratory for Molecular Infection Medicine Sweden (MIMS), and have the chance to use the multiple facilities (e.g., NMR, metabolomics, protein expression, cryoEM) for a successful PhD. In
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for a PhD position in plant science. The expected starting date is fall 2025 or according to agreement. Umeå Plant Science Centre (UPSC) is one of the strongest research environments for basic plant
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, and Umeå University. HPC2N is operating high-performance parallel computer systems and networks, large-scale disk and tape storage systems. All levels of user support are offered, to make sure
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education to enable regions to expand quickly and sustainably. In fact, the future is made here. The Department of Computing Science seeks a postdoctoral researcher who will work on Compilers for Linear
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provide user training on EM methods. Work assignments include, operation and maintenance of instruments and computer systems, as well as assisting researchers in preparation of EM samples, data collection
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on EM methods. Work assignments include, operation and maintenance of instruments and computer systems, as well as assisting researchers in preparation of EM samples, data collection, and image analysis
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. The SciLifeLab and Wallenberg National Program for Data-Driven Life Science (DDLS) is a 12-year initiative that focuses on data-driven research, to train and recruit the next generation of life scientists and
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, candidates must have: • A PhD in a relevant field for data visualization, GIS, and network analysis, such as geographic information science, geography, geoinformatics, cartography or geosciences. • Several
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publications, presentations). Qualifications You need: A PhD degree in computer science, mathematics, or engineering physics, preferably with a focus on data analysis, AI trustworthiness, human robotics