53 machine-learning "https:" "https:" "https:" "https:" "The Open University" Fellowship positions at Nature Careers in United States
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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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. 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
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coding RNAs have been identified (Lee et al.). Science Advances 2017 3(5): e1602505, Katsushima et al. Neuro-Oncology 2021, Katsushima et al. https://doi.org/10.1093/neuonc/noaa235, Katsushima et al. Cell
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Proposal A 400-word personal accomplishments statement, plus key publications Interested candidates should apply through UC Irvine’s RECRUIT system located at: https://recruit.ap.uci.edu/JPF09898 Complete
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uses long timescale molecular dynamics (MD) simulations, integrated with experimental observables (especially cryo-electron microscopy data), and machine learning tools to better capture the dynamics