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to) the specific grant funding and the terms of the research grant when extending an offer. Required: PhD in psychology, sociology, education, neuroscience, economics, public policy, statistics, or a related field
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organizational considerations when extending an offer. Candidates should have a PhD in Marketing, Economics, Statistics, Computer Science, or a related field, and should be established scholars in quantitative
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/training, key skills, internal peer equity, as well as market and organizational considerations when extending an offer. Candidates should have a PhD in Marketing, Economics, Statistics, Computer Science
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position is available at the Department of Physics, New York University under the supervision of Prof. Sarah Kostinski. The research will be focused on theoretical aspects of statistical and biological
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on the candidate’s experience and qualification. Candidates should have a PhD in Engineering, Cognitive Psychology, or a related field. Additional Qualifications include: Required Record of peer-reviewed publications
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limited to) study design, data collection, data analysis, manuscript preparation. Candidates must hold a PhD degree with at least 3 years in social psychology or a closely related field, be competent in
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and algorithmic perspectives on large language models Statistical learning theory and complexity analysis Automated theorem proving and formal methods Random matrix theory and its applications in modern
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Research Scholar (Non-PhD) to work on mechatronics design, control, and reinforcement learning for wearable robots, surgical robots, and humanoid robots. New York University (NYU) is one of the top private
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doctoral degree (ideally PhD/DPhil) in a quantitative subject. They should also have experience in statistical, mathematical, economic or other types of quantitative modeling relevant to health conditions