10 phd-statistics research jobs at University of North Carolina at Charlotte in United-States
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the period of appointment. Thus, the role of Postdoctoral Fellows is clearly differentiated from full-time technical employees. The employee will report to Taner Tunc, PhD, Assoc. Prof. As part of this role
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Health, Biostatistics, Epidemiology, Exercise Science, Kinesiology, or closely related areas • Some analytic programming/coding skills for data management and statistical analyses • Interest in learning
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underrepresented groups. Applicants subject to criminal background check. Other Work/Responsibilities Necessary Licenses or Certifications PhD or equivalent degree Proposed Hire Date 09/01/2024 Expected Length
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), criminal justice, social work, public policy, community health, counselor education, epidemiology, statistics/decision sciences, sociology, and others. Departmental Preferred Experience, Skills, Training
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Licenses or Certifications PhD or equivalent degree Proposed Hire Date 04/01/2024 Expected Length of Assignment 12 months Posting Open Date 03/01/2024 Posting Close Date Special Notes to Applicants
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application of the scientific methods for genetic discoveries and have strong communication skills (written and oral). This position is supported by NSF for multiple years. Required Job Qualifications PhD in
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., M.D.). At minimum PhD with 0 years experience, maximum 5 years postdoctoral experience. Departmental Preferred Experience, Skills, Training/Education: Ph.D. in Biology, Computer Science, or other
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Rate $54,000 Minimum Experience/Education The Postdoctoral appointee must have recently (within the last eight years) been awarded a Ph.D. or equivalent doctorate (e.g., Sc.D., M.D.) PhD in Immunology
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Preferred Experience, Skills, Training/Education: 1. A PhD degree in Electrical and Computer Engineering, or a relevant field. 2. Strong track record of publications. 3. Experience in medical ultrasound
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: 1. Ph.D. in Electrical Engineering, Computer Science or related field with an understanding of electric power systems. 2. A strong theoretical background with evidence in AI, statistical and machine