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quantum many-body theory with a focus on quantum impurity models (particularly Kondo model). Strong computational skills (with Python or Julia or C++ or Matlab or equivalent) and using numerical techniques
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electrical or mechanical engineering Strong mathematical skills Experience in modelling energy systems Very good knowledge and experience in programming (e.g. Python, Matlab, C, C++) Fluent in written and
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the implementation of optimization algorithms using tools such as Python and MATLAB. Provide feedback on student progress and common challenges to the course instructor. Coordinate exam proctoring and ensure clear
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control theory Knowledge of machine learning or optimization methods is a plus Proficiency in programming (Python, Matlab, C++, or similar) Strong interest in cutting-edge research on 6G and autonomous
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., Python, C, MATLAB). Basic knowledge of Windows and Linux operating systems. Valid Category B driver’s license and driving experience. Good command of English (both written and spoken). Ability to work
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languages C++, Python, and engineering computation environments such as MATLAB/Simulink; Knowledge of tools: Git, CI/CD, Jira, SystemWeaver, TargetLink, StateFlow, Latex; Experience in interpreting results
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statistical analysis of neuroimaging data. Implement, document, and maintain analysis scripts using Python and/or MATLAB. Integrate cognitive, affective, behavioural, and neuroimaging datasets to test
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with emerging memory devices Experience with simulation tools (LTspice, Cadence, MATLAB, Python) Interest in brain-inspired computation, energy-efficient hardware, and experimental validation Ability
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. Key Requirements for Postdoc: Requires a PhD in Physics or closely related disciplines. Experience with numerical software (VASP, Quantum Espresso) and programming (e.g., MATLAB, Python) is required
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neuroscience. - Proficient with programming in Python and/or Matlab. This position is subject to the University's background check policy Princeton University is an Equal Opportunity and all qualified