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Apply now Job no:534592 Work type:Full Time Location:Sydney, NSW Categories:Post Doctoral Research Associate The Opportunity The School of Chemical Engineering at UNSW has an opportunity for a
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range of topics in deep learning theory and theoretical neuroscience. For more information and recent publications, please visit pehlevan.seas.harvard.edu . Successful candidates will have the opportunity
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and development activities in the fields of atomistic simulations, including density functional theory, machine learning, and molecular dynamics. The work involves theoretical and experimental research
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areas of mathematics or physics are encouraged to apply as well: (mathematical) foundations of quantum mechanics, quantum information theory, quantum field theory, operator algebras. Personal suitability
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from all research areas in mathematics, priority will be given to applicants working in a field closely related to one of the following subjects: Number Theory and Representation Theory Algebraic
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skills and experience of collecting and analysing qualitative and survey data, ideally using Qualitative Comparative Analysis, in the context of theory-based, mixed methods impact evaluation of complex
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Postdoctoral Research Fellow to work on the design, development, and realization of future communications technologies. You will be part of the team and contribute to ongoing developments in theory, algorithms
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Details Title Postdoctoral Fellow in Deep Learning Theory and/or Theoretical Neuroscience School Harvard John A. Paulson School of Engineering and Applied Sciences Department/Area Position
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includes, but is not limited to, mentored research, grant writing, and teaching experiences. Discipline: Measurement Theory and Statistics Location: University of Maryland School of Pharmacy, Baltimore, MD
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been extensively studied in game theory, reinforcement learning, and optimization, their full integration into modern AI systems (particularly in multi-agent deep learning and human-AI collaborative