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Details Posted: Unknown Location: Salary: Summary: Summary here. Details Posted: 19-Sep-25 Location: New York, New York Categories: Academic/Faculty Internal Number: 174144 The Miura Laboratory in
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University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | about 11 hours ago
Title Post-Doc Research Associate Vacancy ID PDS004647 Full-time/Part-time Full-Time Temporary Hours per week 40 FTE 1 Work Location Chapel Hill, NC Position Location North Carolina, US Hiring Range
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Skip to Main Content Toggle navigation Home Search Jobs Job Alerts Log In /Create Account Help Post Doc Res Assoc Bookmark this Posting Print Preview | Apply for this Job Announcement Details Open
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University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | 1 day ago
Position Title Post-Doc Research Associate Vacancy ID PDS004640 Full-time/Part-time Full-Time Temporary Hours per week 40 FTE 1 Work Location Chapel Hill, NC Position Location North Carolina, US Hiring Range
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, the structuring of the input, the inclusion of depth and time dimensions, the loss function for the multivariate output, etc.) and we therefore expect the post-doc to make significant contributions to the field
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10-month post doc internship in a unit other than the project provider and in a country other than the country where the doctoral degree was obtained; 2. the project leader was not the promoter
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Posted on Wed, 08/27/2025 - 15:01 Important Info Deprecated / Faculty Sponsor (Last, First Name): Cepika, Alma-Martina Stanford Departments and Centers: Surg: General Surgery Postdoc Appointment
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for the position of Post-doc at the Department of Ecology”. Please do not send original documents. Selection process The recruitment procedure will take place in two stages: 1. First stage – the committee will
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, perform imaging on Krios and/or Glacios microscopes, perform data processing and refinement for structure determination. Required skills include expert protein expression and purification skills and
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to reconstruct subsurface defects; Implement image/signal‑processing or machine‑learning pipelines for automated flaw characterisation; Collaborate with the Federal University of Rio de Janeiro, including short