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University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | 3 days ago
Posting Information Posting Details Department Peds-AIR - 412002 Posting Open Date 02/26/2026 Application Deadline Open Until Filled Yes Position Type Postdoctoral Scholar Position Title Post-Doc
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Research Framework Programme? Not funded by a EU programme Is the Job related to staff position within a Research Infrastructure? No Offer Description Doctor Pedro Miguel Ferreira Martins Arezes, Professor
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computational genomics of Alzheimer’s disease. The Sleegers lab is an international team committed to increasing insights into the complex genetics of Alzheimer’s disease and to investigating the translational
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for job vacancy ______ (title of the position for which the applicant is applying), Contest Point No. ___. Where to apply E-mail natjecaji.pisarnica@irb.hr Requirements Research FieldChemistryEducation
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currently hindering, or enabling, equitable governance in ocean initiatives. RESPONSIBILITIES: The post-doc is expected to: - Assemble and manage a global database of both quantitative and qualitative
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system is mouse digit regeneration, which stands as one of the few examples of complex tissue regeneration in mammals. We study conserved genes and regulatory sequences that control regeneration and
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-assembly, molecular binding, and catalysis. The project aims to overcome current data and methodological limitations to enable predictive modelling of complex supramolecular systems. This post is fixed term
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University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | 3 days ago
Title Post-Doc Research Associate - PACE Vacancy ID PDS004781 Full-time/Part-time Full-Time Temporary Hours per week 40 FTE 1 Work Location Chapel Hill, NC Position Location North Carolina, US Hiring
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Job Description Apply now Req Id: 35390 Job Title: Post Doc Research Associate City: West Lafayette Job Description: Job Summary Postdoctoral Research Associate - Data-Driven Physics, ML/AI, and
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information on complex diseases. The goal of our efforts is to build and apply automated analytical pipelines for various types of pathology data, including histopathology images and multi-omics (e.g., genomics