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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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venues (e.g., CVPR) and leading peer-reviewed remote sensing journals (e.g., IEEE TGRS). The candidate should have strong programming skills in Python and MATLAB, together with practical experience in deep
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languages (e.g., python, Matlab, C++, etc) • Any experience with 1) advanced control and optimization, 2) machine learning theory and applications, and 3) chemical engineering and chemistry is a plus
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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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identification skills, with coral reef field and scientific-diving experience. Advanced Open Water or Rescue Diver certification. Strong statistical and data-analysis skills, including R/Python and large
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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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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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experience in photonic device design, numerical simulation, and layout. Proficiency with relevant design and simulation tools, such as Ansys Lumerical, COMSOL, MATLAB, or Python. Hands-on experience in
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theoretical results. Proficiency in Python, MATLAB, or Julia for numerical work. Excellent communication skills, ability to work independently and in international collaborations, and willingness to travel