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University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | about 19 hours ago
Posting Information Posting Details Department Envir Sciences and Engineering - 463001 Posting Open Date 04/01/2026 Application Deadline 05/01/2026 Open Until Filled No Position Type Postdoctoral
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in Utah to recruit multiple postdoctoral fellows to apply high throughput methods and machine/deep learning to unlock the full potential of the dark proteome. Responsibilities Scientific visionRibosome
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, proteomics and metabolomics), from a large collection of well-characterized samples to identify novel biomarkers and causal and druggable targets. We are seeking motivated postdocs with strong analytical
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Posted on Mon, 03/30/2026 - 14:35 Important Info Faculty Sponsor First name: Zachary Faculty Sponsor Last Name: Butzin-Dozier Stanford Departments and Centers: Pediatrics Postdoc Appointment Term: 1
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Internal Number: JR92385 Position Summary The laboratories of Dr. Jeff Milbrandt and Dr. Rob Mitra invite highly motivated candidates to apply for positions as joint postdoctoral fellows in the Department
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who is enthusiastic about studying social scientific questions of the application of AI in decision making and risk. Since the focus of the postdoc position includes AI techniques such as large language
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exploration of nonlinear optical and superconducting materials heterostructures. The postdoc will be part of a collaborative team of researchers in the Molecular Foundry from the Inorganic Nanostructures, Data
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Transformation. The postdoc applying for this position should have an advanced understanding of population science statistics and the ability to independently conduct statistical analysis on large health-related
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running simulations or AI workflows on supercomputers Experience with training or applying large language models for research Experience with MPI and Input/Output (I/O), and data management Experience in
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://postdoc.wustl.edu/prospective-postdocs-2/ . Lab website: https://cruchagalab.wustl.edu/ . Research Projects: Plasma, CSF and Brain Proteomic analysis. Biomarker identification through the use of machine learning