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sciences Collaboration with experts in lab science, medicine, and machine learning Modern GPU compute infrastructure A chance to contribute to cutting-edge research with real-world impact Who you are Strong
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the second year onwards. The funded period of doctoral study is then extended accordingly. For more information about doctoral studies: https://www.umu.se/en/research/research-with-us/doctoral-studies/ https
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Collaboration Conduct research together with academic, industrial, and healthcare partners in a highly collaborative environment. Who we are looking for A highly motivated PhD candidate excited by computational
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extensive resources for accessing cryo-EM, computational, and biosafety-lab infrastructure. The student will be co-supervised within the group of Anna Överby Wernstedt, experts in arthropod-borne disease. We
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funding for fieldwork and conferences, and room to develop your own research profile. Read more about being an employee at Lund University: https://www.lu.se/en/about-university/work-us Work duties and
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of the research environment for this collaborative project and will be part of the Graduate School in Health Informatics and e-Health . The doctoral student will be expected to: follow their individual study plan
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University PhD students are granted social benefits such as parental leave, holiday leave, and occupational health services. Read more about the benefits of being an employee at Umeå University here: https
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https://www.scilifelab.se/data-driven/ddls-research-school The future of life science is data-driven. Will you be part of that change? Then join us in this unique program! Useful links Ribocure
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to work at SLU: https://www.slu.se/en/about-slu/work-at-slu/ Read more about doctoral education at SLU:https://www.slu.se/en/study/programmes-courses/doctoral-education/ Employment and salary The position
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, and applications to real datasets where non-stationarity and evolving dynamics play an important role. Qualifications The doctoral student will be admitted to doctoral studies in Computational