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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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quantitative research design and statistical analysis, preferably in neuroscience, medical imaging, biomedical engineering, or related/close fields. In ranking qualified applicants, special consideration will be
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for developing theoretical skills and for learning new computational techniques and statistical approaches. Research questions that are currently pursued in our group include the applicability of ab initio
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the lab and bioinformatic/statistical analyses of next-generation sequence data. The project will be conducted in collaboration with Prof. Göran Arnqvist (Evolutionary Biology Centre, Uppsala University
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extensive testing with neuroimaging, biomarker measurements and neuropsychological testing. Our group applies sophisticated statistical analyses to these unique and state-of-the-art datasets to model
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research projects. You have experience with statistical software such as R, SAS, or STATA. Personal qualities we are looking for include: A driven personality and the ability to make independent decisions
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measurements, with advanced modeling techniques developed by our team to investigate the key density statistics across the scales relevant for star formation. These statistics provide unique constraints
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diabetes genetics and genomics. The methodological research may include but is not limited to statistical models using genetic data from family-based studies as well as -omics data for integrative
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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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be taken into consideration. The applicant should have a strong background in automatic control, optimal control, statistics, and optimization. Good programming skills are required, including