62 machine-learning "https:" "https:" "https:" "https:" "The Open University" Fellowship research jobs at Nature Careers in United States
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interests in applied statistics, machine learning, or computational biology are encouraged to apply. For more information, please visit our website https://ds.dfci.harvard.edu/postdocs to view the list
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profiling, and other cutting-edge, high-dimensional tissue analysis approaches to evaluate pancreatic cancer pathology using human tissue specimens Assemble analysis pipelines using machine learning
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The Chintan Parekh Lab is seeking a Postdoctoral Fellow to work on research projects focused on defining mechanisms underlying interactions between CAR T-cells and the bone marrow microenvironment
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of immune cell function. These projects are focused on making safer and more effective cell therapies (e.g., CAR-T) and gene therapies for cancer and beyond. We are an interdisciplinary lab spanning
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in Spatial Omics and Multi-Modal Data Integration Duties & Responsibilities: Develop computational and machine learning methods for spatial omics data (spatial transcriptomics, spatial proteomics
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/researchers, and we work with amazing partners, including other Harvard Medical School-affiliated hospitals. The Fischer Lab (https://fischerlab.org/) seeks a highly motivated individual to join the team as a
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. graduates and doctoral candidates nearing graduation who have research interests in applied statistics, machine learning, or computational biology to apply for our postdoctoral fellows program. This program
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application, may be viewed at: https://qcb.illinois.edu/postdoctoral-fellowship-program/ If you have any questions about the QCB Postdoctoral Fellowships or the application process, please email us
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(https://irp.drugabuse.gov/staff-members/da-ting-lin/ ) Note: This position is open to both U.S. and non-U.S. citizens. Selection for this position will be based solely on merit, with no discrimination
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tissue specimens Assemble analysis pipelines using machine learning to process tissue data reproducibly and at scale Conduct analyses using programming languages such as R and Python Collaborate with other