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University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | 4 days ago
Posting Information Posting Details Department Physics and Astronomy - 319000 Posting Open Date 08/01/2025 Application Deadline Open Until Filled No Position Type Postdoctoral Scholar Position Title
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respectful and fair for all. Find out more about the benefits of working at the University and what it is like to live and work in the Durham area on our Why Join Us? - Information Page The Role and Department
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– Collins Laboratory Position #00836201 – Requisition #37086 Job Summary: This position reports directly to Dr. Cailin Collins, MD, PhD, and will work within Dr. Collins’ laboratory personnel, a component of
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healthcare better,” reflects the increasing contribution to healthcare that can be provided by doctors of pharmacy trained in the highly interprofessional and primary care environment present at the HSC Fort
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well as MSc and PhD programmes. Further information may be found at: http://www.kcl.ac.uk/physics About the role We are seeking to fill a position of Postdoctoral Research Associate, working in close
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on natural language processing, computational linguistics, and data science. The main lab research areas are Arabic natural language processing (orthography normalization, grammatical error correction
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providing technical support and troubleshooting in T cell culture, molecular cloning, and viral production workflows. Profile PhD in bioengineering or related area. Strong practical background in primary T
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). This consortium pulls together expertise from all over the University, including in diagnostics, data science, drug and vaccine design, preclinical testing and clinical testing and brings it to bear on tuberculosis
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analytical chemistry and with a preference to a strong background in chemistry. Candidates with practical experience in non-target analysis and data analysis workflows, gas chromatography of very volatile
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Foundation (DFG), at the University of Tübingen. The project is led by Principal Investigators Prof. Dr. Michael Franke and Dr. Todd Snider. The project seeks to investigate cognitively plausible models