21 bayesian-object-detection Postdoctoral positions at Nature Careers in United States
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excellent benefits, to postdoctoral fellows. To find out more about our benefits for postdocs, check out this link . Highly motivated individuals with a recent Ph.D. in immunology or cell biology and
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to the processing and electron microscopy structural characterization of low-dimensional nanostructures. Dispersability, processability, and manipulation of these objects are important objectives of the group. In
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model. mBio 2025, DOI: 10.1128/mbio.01943-24. Replication-Competent Virus Detected in Blood of a Fatal COVID-19 Case. Ann Intern Med 2024, DOI: 10.7326/L23-0253. Clinical and Immunologic Correlates
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oncology, infusion, radiation, proton therapy and related services, and network affiliations with hospitals in five states. Together, our fully integrated research and clinical care teams seek to discover
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generate recombinant class II peptide-MHC multimers and B cell multimers to detect antigen-specific cells of interest. Present at conferences and lead manuscript writing. Requirements: Recent Ph.D. in
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veteran status, genetic information, or other protected classes under the law. For additional information please see the University's Notice of Nondiscrimination . Job seekers in need of a reasonable
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into applications that enable the early detection of deviations from health, personalize treatment, and ultimately prevent disease. First founded in 1992, the Max Delbrück Center today inspires and nurtures a diverse
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optimization and validation and in addition, we aim to discover novel VHHs capable of crossing the blood-CSF barrier and delivering therapeutic cargoes to the brain. You will become an integral member of a
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, sex, national origin, military service, genetic information, and disability. Baylor complies with statutory Affirmative Action/Equal Opportunity requirements. Baylor's full official Notice of Non
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Postdoc "Interferometric SAR Data Processing and Analysis for Implementation in the 3D-ABC Founda...
, large-scale AI, generative AI, and Exascale HPC to detect, quantify, and characterize key parameters of the global carbon cycle at high spatial resolution with a focus on above and below ground