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or reinforcement learning o Sensor fusion and state estimation o Motion planning and control • Excellent programming skills in Python and/or C++. • Experience with ROS
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skills, including statistical analysis using R, Python, SPSS, Stata, or equivalent software. • Experience with computational social science methods, including NLP, machine learning, LLMs, social media
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Engineering, or related field. At least 3 years of relevant experience in computer vision, artificial intelligence, etc. Proficiency in programming languages such as C and Python Proficiency in deep learning
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: Proficiency with electrodynamics and electromagnetism; familiarity with quantum physics/quantum electrodynamics is a plus. Proficiency in scientific programming e.g., C, C++, Python etc. 2. Research Fellow
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, environmental, or policy datasets. • Strong quantitative and econometric skills. • Proficiency in statistical software such as R, Stata, Python, or MATLAB. • Excellent written and verbal communication
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are required. Experience in python, Fortran, C++ and parallel computing are a plus. 3. Good publication record in peer-reviewed journals for fluid mechanics. 4. A Ph.D. degree in relevant
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techniques e.g. Gaussian/Amber/Schrödinger/python/bash For more information, please contact Asst Prof Shao, Huiling ([email protected] ). We regret to inform that only shortlisted candidates will be
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• Has strong background in optimization methods. • Is proficient in programming econometric models in R, Python, or MATLAB. • Good written and verbal communication skills. • Candidates without
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.), data-driven modelling and control methods (e.g., reinforcement learning, transfer learning, etc.) Proficiency in programming tools and languages, e.g., MatLab, Python, Modelica, C, ForTran, etc. We
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of application. Strong mathematical skills and significant programming experience (e.g. Fortran, Matlab, Python, Linux). Significant experience in numerical modeling and familiar with at least one of