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Department University of Chicago Harris School of Public Policy About the Department The Bike Shop seeks to solve society’s most pressing challenges by designing and scaling advanced algorithms
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University of Massachusetts Medical School | Worcester, Massachusetts | United States | about 1 month ago
General Summary of the Position Postdoctoral positions in Deep-Learning Omics are available in the Zhou Lab (https://profiles.umassmed.edu/display/20062865 ). The Zhou Lab at UMass Chan Medical
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The Associate in Research will be responsible for using and developing computational algorithms to analyze single-cell and spatial-omics datasets. Specifically, we have multiple projects where we are generating
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. Science Advances (2024). https://doi.org/10.1126/sciadv.adk1250 Your qualifications: Required qualifications: Applicants must hold a PhD degree in computer science, bioinformatics or similar. The applicant
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Perrimon’s group in the Program of Genetics at Harvard Medical School. Perrimon lab is actively generating data sets of omics scale and this position will involve working with other post-doc trainees in
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Applications are invited for a fix-termed 2-year postdoc position in the field of RNA design at the Department of Molecular Biology and Genetics, Aarhus University, Denmark. The position is part of
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Applications are invited for a fix-termed 2-year postdoc position in the field of RNA design at the Department of Molecular Biology and Genetics, Aarhus University, Denmark. The position is part of
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epidemiology and biology of infection, which is a fully funded, four-year PhD student position. Data-driven life science Research School Data-driven life science (DDLS) uses data, computational methods, and
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, assess, and improve results and methods. Apply computational and statistical tools and algorithms for the preprocessing, analysis, and visualization of source data. Document code and analytic approaches
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-related traits, and heterosis. In the era of large population size and dense genomic data such as whole-genome sequencing, new algorithms are needed to remove the bottleneck of computational load for such a