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collaborate with external partners. Education Required Qualifications PhD in one of the Computational Social Sciences, Science of Science, Science and Technology Studies, Philosophy of Science, Sociology
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and great opportunity of interdisciplinary training in machine learning and functional genomics. The project combines cutting-edge computational approaches, especially state-of-the-art machine learning
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completed PhD by the time of employment, and the degree may be in sociology, history, political science, geography, religious studies, or related areas. Fluency in Japanese and English are required, and
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addition to annual salary of up to $75,000, this position provides office space, computer equipment, and $2500 in yearly support for scientific conferences or professional development. A sign-on bonus will also be
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‘best-practices’ in semiconductor processing. Qualifications A successful candidate should have: M.S. or PhD in Physics, Electrical Engineering, Materials Science, or related Engineering discipline
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completed PhD by the time of employment, and the degree may be in sociology, history, political science, geography, religious studies, or related areas. Fluency in Korean and English are required, and
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the culture of the College of Liberal Arts (#ThinkBroadlyLeadBoldly). Pay band: In addition to annual salary of up to $75,000, this position provides office space, computer equipment, and $2500 in yearly
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simulation models used in rare-event searches, develop machine learning methods for background rejection, and place constraints on new physics using LZ datasets. In addition, the postdoc will lead the
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Lashkari's research group for 2+1 years (renewed annually) with the third year extension conditioned on availability of funding. Qualifications Applicants must hold a PhD in physics or a related field by the
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signature preservation. A PhD in geology, planetary science, or a closely related field is required. Experience in reflectance, emission, or FTIR spectroscopy is preferred. The position is available