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formula. Preferred Qualifications Familiarity with Python, R and MATLAB. Experience with machine learning/deep learning. Master’s degree in a related field. PhD or near to completion of a PhD (or equivalent
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: A PhD degree in business, computer science, informatics, social sciences (preferably sociology, psychology, or economics), public health or a related field is required and must be conferred by
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: Doctoral-level degree in bioethics, philosophy, public health, law, medicine, social science, history or other relevant discipline, with fewer than five years of post-PhD research by the start date
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-Intensive Engineering and Science (part of the new Data Science and AI center), and at the National Radio Astronomy Observatory. Required qualifications are: PhD in Astronomy, Astrophysics, Physics, or a
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Internal Number: 118315-en_US The Department of Epidemiology is seeking to hire a casual Research Assistant to work under the direct management of Avonne Connor, PhD, MPH. The position will require
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channels. - Attending regular meetings to present updates on research and to discuss progress with collaborators. Qualifications - Completed a PhD (or close to completion) in data science or
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Observatory for Rare Events (CUORE) and the CUORE Upgrade with Particle IDentification. Candidates should have a PhD in experimental nuclear or particle physics, or the equivalent. Preference will be given
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transmitted to the larger organization. Qualifications § A PhD in Electrical and Computer Engineering, Applied Physics, or a related field § >3 years experience with Lumerical and Comsol electromagnetic
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managing timelines and deliverables. Qualifications Advanced Degree: A PhD in a relevant field such as computer science, economics, political science or cultural evolution Programming Skills: Proficiency in
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expected to work closely with graduate and undergraduate students. Applicants should have a PhD in physics prior to the start date and significant research experience with atomic and optical systems