61 phd-studenship-in-computer-vision-and-machine-learning Postdoctoral positions at Duke University
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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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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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neural stimulation and/or computational neural modeling are required as are excellent communication skills. The Postdoctoral Appointee holds a PhD or equivalent doctorate (e.g. ScD, MD, DVM). Candidates
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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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, 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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the individual's research skills for his/her primary benefit. This multidisciplinary program is focused on developing the next generation of researchers in the field of aging, and competitive candidates will
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research or scholarship. The appointment is generally preparatory for a full time academic or research career. The appointment is not part of a clinical training program, unless research training under
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utilize new machine learning methods for 3D behavior tracking and analysis. · Advise PhD students on related projects. Other Work Performed and Expectations · Document progress consistently and
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(PhD in computational biology, statistics, genetics or related field) with excellent quantitative and dry lab skills. The successful candidate will be expected to develop and lead computational analyses
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, variations in concentrations of atmospheric pollutants, and shifts in direct application of nitrogen to ecosystems. The candidate must have a PhD degree in a related field, be fluent in computer programming