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, you will collaborate with both clinical and preclinical researchers as well as experts from other research fields. You will have a central role in the project and work independently with: Statistical
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duties. The position will involve a mixture of methodological and collaborative research in diabetes genetics and genomics. The methodological research may include but is not limited to statistical models
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and experience in: Handling and analyzing large datasets of genetic and coronary imaging data. Apply relevant statistical techniques to analyze registry-ascertained health outcomes in women Execute
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to work on projects that involve statistical and quantitative genetic analyses of both laboratory and field data. You will also be involved in data collection by conducting experiments in the fish
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organizations across public and private sectors (including the Swedish Transport Administration), you will conduct mixed-methods research combining qualitative studies, survey development, and statistical
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studies and analyse data using appropriate statistics; publish in international journals, and participate in and present at international conferences in relevant fields; participate in the activities
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statistics, including programming in commonly used languages such as R. A valid category B driver’s license, enabling fieldwork in Sweden and abroad. Very good oral and written proficiency in English
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and statistical analysis. Requirements PhD degree in population genomics, bioinformatics, applied statistics or a related area, or a foreign degree equivalent to a PhD degree in population genomics
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and statistics, including programming in commonly used languages such as R. A valid category B driver’s license, enabling fieldwork in Sweden and abroad. Very good oral and written proficiency in
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research group (led by Prof. Vicenç Torra) conducts research in data privacy for data to be used for machine and statistical learning. It is well known that data can be highly sensitive, and that naive