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in environmental health and ecology as well as working with motivating datasets to become familiar with the data structure, challenges and competing methods. This position requires a Phd degree in
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courses per year. Ideal candidates would have significant prior experience in data engineering, data science and/or machine learning in an industry setting. They would also have a PhD or commensurate
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Learning. Education and Experience Requirements Job requires a PhD in a related field of study Job requires a minimum of 5 years of experience in education, teaching and student engagement Duke University is
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certificate, MS, or PhD. Depending on the departmental framework, the optional Research component may be selected before or after the start of the residency program. If the in-depth medical physics research
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a PhD or equivalent doctorate (e.g.ScD, MD, DVM). Candidates with non-US degrees may be required to provide proof of degree equivalency.1. A candidate may also be appointed to a postdoctoral position
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for this position will be a highly motivated individual with experience in deep learning and medical imaging and a PhD degree in computer science, electrical and computer engineering, biomedical engineering
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Training Program. This position will be funded by our NIDDK T32. Eligibility: U.S. citizenship or permanent residency required PhD applicants must have been awarded their degree or anticipated prior to June
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to Dr. Richardson at curtr@duke.edu. TERM: 1 years, with the possibility of extension based on performance and funding. QUALIFICATIONS: Applicants should hold a PhD in wetland ecology, biogeochemistry
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of output from global climate models (CMIP-class models) as well as Integrated Assessment Models (IAMs) such as GCAM or PAGE. The candidate must have a PhD degree in a related field, be fluent in computer
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drivers and other disease vulnerabilities. Educational Requirements: Doctorate (MD, PhD, VMD, or DDS) in area directly related to field of research specialization required. A candidate who has experience