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Luleå University of Technology is in strong growth with world-leading competence in several research areas. We shape the future through innovative education and ground-breaking research results, and
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. The future of life science is data-driven. Will you be part of that change? Then join us in this unique program! Project description This PhD student position is in the research team of Associate Professor
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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
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education to enable regions to expand quickly and sustainably. In fact, the future is made here. The Department of Informatics is recruiting a PhD student for a fixed-term employment of four years starting in
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these processes using large-scale population genomic data from modern-day and prehistoric humans. The PhD position is part of the The SciLifeLab and Wallenberg National Program for Data-Driven Life Science (DDLS
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education to enable regions to expand quickly and sustainably. In fact, the future is made here. Umeå School of Business, Economics and Statistics at Umeå University is looking for a PhD candidate in Business
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modeling of magnetic materials using first-principles methods. Good knowledge of programming is required. Meritorious experience for the position is demonstrated knowledge of Git, Python, Bash and VASP. Good
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an individual study plan. For a doctoral degree, the equivalent of four years of full-time doctoral education is required. The research group The position is based in Joakim Dahlin’s team at Karolinska Institutet
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more about our benefits and what it is like to work at SLU at https://www.slu.se/en/about-slu/work-at-slu/ Green logistics for food and bioenergy Research subject: Technology We are looking for a
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, or similar. Familiarity with linear algebra libraries and high-performance computing is a merit, but not a requirement. About the position The position provides you with the opportunity to pursue PhD studies