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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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: Production Economics (PEK) - Linköping University The employment When taking up the post, you will be admitted to the program for doctoral studies. More information about the doctoral studies at each faculty
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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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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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at SLU by visiting: https://www.slu.se/en/about-slu/work-at-slu/ Location: Uppsala Form of employment: Fixed-term employment 3 months Scope: 80% - 100% Start date: As agreed. Application: Please submit
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, animals, fungi, bacteria, etc.). The Program for Plant Ecology and Evolution, where this position is located, is home to eight research group focusing on genomics, adaptation and speciation as well
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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 the program for doctoral studies. More information about the doctoral studies at each faculty is available at Doctoral studies at Linköping University The employment has a duration of normally four years’ full
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interpretable models that connect molecular patterns across multiple scales of human biology. The project lies at the interface of artificial intelligence, computational biology, systems medicine, and precision
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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