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the strengths of modern biotechnology and computational tools to address essential questions in life sciences including plant biology and crop sciences. Required Qualifications PhD degree in genetics, genomics
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expertise. The Clinical Epidemiology Unit (clinicalepi.de ) uses and develops modern statistical and mathematical methods for the analysis of primary and secondary data. A particular focus of the Unit is the
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reviewed publications including use of simple to complex statistical analysis. -Compose and write scientific publications, progress and annual/final reports for grants. -Supervise undergraduate and/or
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, perform data analysis utilizing medical imaging data, computer models, and statistical tools. The individual will prepare manuscripts and contribute to the development of grant proposals. The McIntyreLab
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interpretation of complex data. Coordinate statistical work across teams, ensuring alignment between analytic strategies, study designs, and methodological objectives. Co-supervise PhD students working
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holding a PhD degree in Biomedical Sciences or a related field are eligible to apply. Life sciences (Biology, Genetics, Biochemistry, etc.) PhDs with computational experience are also eligible
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of tools and public goods. Requirements Applicants must have (or expect to have at time of appointment) a PhD in the social sciences, statistics, computer science, or related fields, and their interests must
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the final stages of completing) a PhD in Neuroscience, Biomedical Engineering, or a related area. They should have good knowledge of sleep physiology and prior experience of sleep data collection and analysis
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and pursue independent research directions. Required Qualifications: Completed PhD in Statistics, Biostatistics, Computer Science, Bioinformatics, or a closely related area prior to their appointment
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Molecular Genetics. Candidates with interests spanning statistical genetics, neuroimaging data analysis and developmental neuroscience, and the study of etiological heterogeneity in the developmental