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well as access to sequencing facilities, high-end computer clusters, and an imaging and electron microscopy core facility. Research in our group covers diverse invertebrate lineages, with particular strengths in
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the Villum Experiment project “Engineering an extracellular vesicles-based transfection method for challenging-to-transfect cells” led by Dr. Weihua Tian. This position offers an exciting opportunity
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Details Posted: Unknown Location: Salary: Summary: Summary here. Details Posted: 21-Nov-25 Location: Chapel Hill, North Carolina Categories: Academic/Faculty Computer/Information Sciences Internal
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University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | about 9 hours ago
Carolina, US Hiring Range Salary will be commensurate with NIH rate Proposed Start Date Estimated Duration of Appointment 12 Months Position Information Be a Tar Heel! A global higher education leader in
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methods with in situ characterisation techniques such as in situ Raman spectroscopy (including SHINERS) and electrochemical mass spectrometry. This combination will be used to investigate the structure
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The postdoctoral researcher will work with computer-based analytical methods and large databases to develop theory and methodology for utilising aggregated data from archaeology, genetics, and linguistics, thereby
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annual leave, plus 9 buildings closed days for all full time staff. Use our total rewards calculator: https://www.hw.ac.uk/about/work/total-rewards-calculator.htm to see the value of benefits provided by
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to support a circular bioeconomy. We are seeking a highly motivated postdoctoral researcher to develop and apply machine‑learning and data‑science methods, with a focus on computer vision, to enhance wood
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: Initiate and maintain cell cultures Prepare and maintain biological stocks Maintain proper lab and experimental records, both digital and hard copy Test, optimize, troubleshoot new and existing methods and
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phylogenetic and adaptive signals, providing a rich fossil record for evolutionary studies. This project integrates fossil and extant data using morphological phylogenetics and advanced tip-dating methods