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degree in Nursing Assistant Professor of Practice: Terminal degree in Nursing (DNP, EdD, PhD) Unencumbered RN license in North Carolina or eligibility to obtain. Recent clinical experience in relevant
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data mining will be considered. A PhD in Data Science, Statistics, or Mathematics is required by the appointment start date. Evidence of excellence in teaching at all levels of the curriculum and strong
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has a very active and diverse range of research activity across applied and pure mathematics and statistics, with more than 75 members of staff and 100 PhD students, including one Fellow of the Royal
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: (a) graduate-level courses that cover the fundamentals of scientific programming, quantitative data analysis, and statistics; and (b) modular short courses and workshops that cover more advanced topics
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The University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | 1 day ago
venues. Education and Experience: * PhD in social sciences or higher education, or a related field * Prior experience working directly with child welfare-engaged families and or those who have encountered
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in their decisions and businesses in their strategies. Do you want to know more about LIST? Check our website: https://www.list.lu/ How will you contribute? You will be contributing to the BESSER
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: http://adminrecords.ucsd.edu/PPM/docs/230-311.html Department: https://oph.ucsd.edu/ Qualifications Basic qualifications (required at time of application) Candidates must have a PhD or MD/PhD in
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, peer-reviewed publications. Preferred Qualifications: A PhD in Economics A commitment to teaching excellence at the undergraduate level, which may be exhibited through prior teaching experiences and
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through the EU Research Framework Programme? Not funded by a EU programme Is the Job related to staff position within a Research Infrastructure? No Offer Description The PhD student will be based
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Qualifications: PhD and 2+ years of experience in a computational discipline such as Computer Science, Statistics, Biomedical Engineering, or a related field. Experience with multi-modal learning across modalities