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particle physics or related areas prior to the time of employment. Preferences will be given to those with experiences in collider phenomenology, machine learning, effective field theories, positivity bounds
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, Machine Learning , Neutrino , Neutrino physics and Astrophysics , Phenomenology , Quantum Field Theory , Theoretical Particle Physics , theory , Lattice QCD Appl Deadline: 2025/12/02 04:59 AM (posted 2025
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Details Title Postdoctoral Fellow in Geometric Machine Learning School Harvard John A. Paulson School of Engineering and Applied Sciences Department/Area Applied Math Position Description A
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research on the boundaries between Knowledge Representation, Machine Learning and Statistics. The main purpose of a postdoctoral fellowship is to provide the candidates with enhanced skills to pursue a
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as an integrated analytical framework, we apply comparative risk assessment, disease modeling, machine learning, and survival extrapolation methods to systematically quantify the long-term impacts
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on physics analysis and artificial intelligence/machine learning (AI/ML). The successful candidate will contribute to the group’s broad physics program, which includes precision Higgs and Standard
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Postdoctoral Associate in History of Art The Department of History of Art & Visual Studies at Cornell University (https://arthistory.cornell.edu) invites applications for a two-year Postdoctoral
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integration analytics, machine learning, and/or AI. In addition to carrying out research, the successful candidate will be expected to apply for fellowship funding, contribute to the writing of grants and
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one or more of the following areas is a BIG PLUS: data science (machine learning and AI), cancer biology, animal physiology, organic chemistry, E3-ubiquitin biology, and gene editing. In all cases
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Cornell University, Department of Global Development Position ID: Cornell-Department of Global Development-PDA [#30767, WDR-00051028] Position Title: Position Type: Postdoctoral Position Location