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Time Rank: Post Doc Campus: Unionized Position Code: Not Applicable Job Description: The QMODE Laboratory at Syracuse University (SU), Syracuse, NY, is seeking a Postdoctoral Researcher to work
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new machine learning methods to integrate remote sensing of farm habitats with ground level scoring of farm biodiversity value but many issues still need to be considered. This Post Doc presents
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Apply now Job no:528460 Work type:Post Doc (Amherst Only) Location:UMass Amherst Department: Mathematics & Statistics Union: Post Doc Categories:Postdoctoral Research Associate, College of Natural
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computer clusters and french HPC time. COSMOS-Web is an international team of >100 permanent researchers, post-docs, PhD students, mainly in the US and Europe. The successful candidate will be in contact
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must be a self-starter who is comfortable taking initiative and who can play a major role in completing. Achievement of the expected progression within Post Doc and Senior Post Doc is transferable
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applications took place from April 15 to 30, 2025, under the reference SMAIS_POSTDOC_1.4.25. Call is open for the award of 1 (one) Post-Doc Research Fellowship (BIPD) at UNINOVA - Institute for the Development
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. - Knowledge in programming, data treatment, electron diffraction simulations, mathematical skills, knowledge about machine learning and artificial intelligence is a plus. Website for additional job details
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University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | about 1 month 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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University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | 6 days 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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environments, specifically Computer Vision, Machine learning algorithms and methods for rock characterization, fragmentation prediction, and mining optimization. Specific Requirements Good academic and