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University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | 3 months ago
Researcher - Mixed-Methods Diabetes Care and Aging Research Vacancy ID PDS004726 Full-time/Part-time Full-Time Permanent Hours per week 40 FTE 1 Work Location Chapel Hill, NC Position Location North Carolina
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collaboration with local water utilities and software developers Integrate digital urban water twins with data, applying methodologies for data assimilation, parameter estimation, and quantification of model
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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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, trainees, and other researchers. Examples of duties might include: Design and implement research protocols; adapt new procedures, methods or instrumentation relative to research procedures. Collect, prepare
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to the discussions with the project partners (with reciprocal visits during the employment period) and work towards the project deliverables; explore new methods construct LRC codes from algebraic curves and/or
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of developed computer code, link to source code repository, or description of developed proprietary code (Optional) Reference requirements 3 required (contact information only) Apply link: https
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University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | about 2 hours ago
on experience and/or qualifications Proposed Start Date 07/01/2026 Estimated Duration of Appointment 12 Months Position Information Be a Tar Heel! A global higher education leader in innovative teaching, research
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twin of sperm motility, and utilize it to develop a separation method. Your tasks will include: Performing computer simulations and matching them to experimental data Very close collaboration with
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such as aphasia and apraxia. The World Health Organization (WHO) estimates that more than 50 million people worldwide suffer from dementia, with AD accounting for 60-70% of all cases. Unlike familial
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implement new computational and statistical methods. Create, test, and use relevant computer code (R, Python, SQL or equivalent). Maintain, modify, and execute analytic machinery that results. Draft