16 parallel-computing-numerical-methods-"Prof" Postdoctoral positions at Umeå University in Sweden
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Umeå University is one of Sweden’s largest higher education institutions with over 37,000 students and about 4,700 employees. The University offers a diversity of high-quality education and world-leading research in several fields. Notably, the groundbreaking discovery of the CRISPR-Cas9...
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of numerical methods for PDEs, expertise in High Performance Computing and proficiency in a programming language. Excellent written and verbal communication skills in English, the capability to conceive, execute
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agreed upon. Department of Computing Science The Department of Computing Science has been growing rapidly in recent years, with a focus on creating an inclusive and bottom-up driven research environment
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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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for scientific purposes. The postdoc will work with Prof. Daniel Metcalfe (Umeå University, Sweden) and Dr. David Bartholomew (Botanic Gardens Conservation International, Brazil), and collaborators within
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the molecular mechanisms of the bacterial CRISPR-Cas9 system and its repurposing into a tool for genome editing, a method developed at Umeå university that was awarded the 2020 Nobel Prize in Chemistry. The host
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within the WASP project, led by Assoc. Prof. Zoe Falomir. The position is full-time for two years, starting May 1, 2025, or as agreed. Department of Computing Science Our department conducts world-leading
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-core fibers. Fluency in English, both in oral and written forms. Highly meritorious: Knowledge in theoretical/numerical methods for simulation of thermo- and fluid dynamics. Knowledge in optics. Ability
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streams draining ditched, restored, and pristine peatlands already established across Sweden. The postdoc will work with Prof. Ryan Sponseller (Umeå University) and Assistant Prof. Gerard Rocher-Ros (Umeå
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biobanks. Project description DDLS Fellows program Data-driven life science (DDLS) uses data, computational methods, and artificial intelligence to study biological systems and processes at all levels, from