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involves designing, executing, and analyzing current or future quantum simulations at the intersection of subatomic physics and quantum information science. The successful candidate will also lead peer
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regional leadership in biostatistics, genomics, biomedical informatics, artificial intelligence and health data science. The Postdoctoral Associate will conduct research in statistical machine learning and
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Health Sciences. The position will be focused primarily on analyzing data from projects related to emergency medical services, focused on stroke care, and climate change implementation science. This role
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PhD with an interest in computational social science or data science (broadly defined). This individual will help design, execute, and analyze a series of field experiments on a platform created by the
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. Robert Calderbank’s research group. The successful candidate will conduct numerical simulations, develop and implement computational methods to interpret complex data, and contribute to the preparation
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, United States of America [map ] Subject Areas: Mathematics / applied mathmetics , Mathematical Sciences , Partial Differential Equations , Statistics Computer Science Machine Learning Appl Deadline: none (posted 2025/08
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lab members, and collaborate with colleagues across the Duke research community. Required Qualifications at this Level Education/Training: PhD in Physics, Electrical/Computer Engineering/Quantum
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assistance, if needed. Minimum Qualifications The candidate should have a Ph.D. in Engineering, Physics, Applied Mathematics, Computer Science, or a related area. Experience 0+ years of postgraduate experience
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data sets and strong analytical skills in psychology or other social science disciplines is necessary. Responsibilities: Advanced statistical modeling and data analysis – 60% · Conduct advanced
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international and regional leadership in biostatistics, genomics, biomedical informatics, artificial intelligence and health data science. We are recruiting a creative, rigorous Postdoctoral Research Scientist