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, including development of new computational tools for processing large-scale biospecimen data Creation of novel machine learning frameworks for automated scientific analysis and discovery Design and
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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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Assessment Models (IAMs) such as GCAM or PAGE. The candidate must have a PhD degree in a related field, be fluent in computer programming, preferably python, and will ideally have experience in working with
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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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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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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
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. Compliance with all applicable University and departmental policies and procedures. Required Qualifications at this Level Education/Training The Postdoctoral Appointee holds a PhD or equivalent doctorate (e.g
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settings associated with cancer, Alzheimer’s disease, and stroke. Applicants must: 1. Hold a PhD with relevant skillsets in ultrasound imaging; 2. Have excellent informal and formal written and oral
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outlined in Section 7-B of the Duke University Postdoctoral Policy, effective April 1,2008. Work Performed 1. The Postdoctoral Appointee holds a PhD or equivalent doctorate (e.g.ScD, MD, DVM). Candidates
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· Possess the knowledge of basic research integrity, values of ownership of a research project, and follow timelines to achieve deliverables Requirements: · MD, MBBS, PhD (with clinical research experience