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(Anthropic, OpenAI). Experience with graph algorithms or NetworkX. Familiarity with adaptive learning or educational technology. Experience with WebAssembly technologies (Pyodide, WebR). OAuth2 authentication
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University of Massachusetts Medical School | Worcester, Massachusetts | United States | about 2 months 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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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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Professor will be responsible for teaching undergraduate and graduate courses in computer systems and algorithm design on a temporary basis. Teaching may be in our core courses alongside other faculty
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be found at https://datascience.cancer.gov/collaborations/nci-department-energy-collaborations ; https://www.cincinnatichildrens.org/research/divisions/d/decoding-mental-health/programs/mental-health
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Biotechnology, Bioengineering, Biochemistry, Pharmaceutical Sciences, Neurosciences, Biomedicine, Biomedical Research or Genetics and be enrolled in a PhD or a non-degree course, relevant for the development
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the Department of Molecular Biology and Genetics, Aarhus University, Denmark. The position is part of the project RIBOTICS (RNA Origami Technology in Cell Systems) funded by an Advanced Grant from the European
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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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The Quantitative Genetics research group is interested in developing statistical genomics toolboxes to decipher the genetic architecture of important crop traits, such as grain yield, adaptation