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than 18,500 people, including over 14,000 students and 4,000 researchers from more than 120 different countries. Postdoctoral Position in Computational Genomics, Machine Learning & Single-Cell Biology Mission
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Job Description Apply now Job Title: Postdoctoral Associate - Cancer Bioinformatics, Biostatistics, and Multi-Omics Division: Molecular and Cell Biology Work Arrangement: Onsite only Location
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/ Population-scale multiome immune cell atlas reveals complex disease drivers https://www.medrxiv.org/content/10.1101/2025.11.25.25340489v1 A structure-informed deep learning framework for modeling TCR-peptide
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University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | 1 day ago
of microscopy, multiplexed immunofluorescence, spatial/protein imaging, or image-derived single-cell phenotypes. Machine learning, latent variable modeling, variational autoencoders, optimal transport, graph
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experimental methods to build interpretable models of the complex, nonlinear dynamic behaviour of fuel cells. These models will provide an in-depth understanding of fuel cell behaviour under different operating
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About the lab The Laboratory of Causal Systems Immunology combines causal inference, probabilistic AI and large-scale in vivo perturbation experiments to uncover how genes shape immune-cell states
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position in the field of Gene regulation and Single cell genomics. The position is hosted by the School of Medicine at the Faculty of Health Sciences and located on the Kuopio Campus. The position will be
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in the first instance, with possible extension thereafter. We are looking for a talented ambitious postdoctoral researcher to join a Cancer Research UK-funded programme to examine the role of cell
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mouse models, in vivo rabbit preparations, and cell culture approaches to study how anesthetics induce unconsciousness and cause toxicity. Our wet bench experiments involve measuring oxygen consumption in
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experience with mammalian cell culture, protein expression (E. coli, yeast, and mammalian cells) and purification, and/or Drosophila genetics, including dissection, immunostaining, and confocal microscopy