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programs. This position has a high level of interaction with an international and multicultural scientific community. The Omega Group in the Physics Department at BNL focuses primarily on the ATLAS
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University of Chicago, Pritzker School of Molecular Engineering Position ID: UofC -PME -POSTDOC [#30355] Position Title: Position Type: Postdoctoral Position Location: Chicago, Illinois 60637
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after the review date will only be considered if the position has not yet been filled. Position description Applications for the Postdoctoral Scholars are being sought from doctoral (PhD, MD, or foreign
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Scale Tissue Atlas" project. -Duties include conducting research on image processing, image alignment, and instrument design and development for the funded projects. -This project will require expertise
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Applicable Driver's License: A driver's license is not required for this position. More About This Job Required Qualifications: The applicant should have a PhD in biological/biomedical sciences, or an MD with
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imaging methods and metabolic function tests to assess airway epithelial function and neuronal health. This is a non-tenure track position, and the appointment length will coincide with available funding
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Salaried Payroll Designation PeopleSoft Seniority Unit Terms of Appointment Staff - 12 month Position Pension Eligibility ABP Qualifications Minimum Education and Experience The candidate must hold a PhD or
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to study processes relevant to human reproduction using genetics, molecular biology, biochemistry, cell biology, and microscopy/imaging. A qualified candidate will be capable of working independently
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University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | about 1 month ago
Posting Information Posting Details Department Radiology - Research - 412802 Posting Open Date 07/21/2025 Application Deadline Open Until Filled Yes Position Type Postdoctoral Scholar Position Title
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is 7/1/24. Qualifications Completed PhD or a foreign equivalent. The current project seeks to revolutionize the entire process from data to prediction with a paramount focus on reproducibility and