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statistical methods (e.g., HLM, SEM, non-linear dynamical systems) and programming skills (e.g., R, Python, MATLAB) as well as data mining techniques for analyzing performance outcomes, self-report measures
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., cracking systems, storage, gas power cycle, gas turbine) Familiarity with Systems Engineering approach Experience with: ASPEN plus ASPEN Hysys Python or relevant programing language Transient simulations
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: Proficiency in algorithm development for autonomous systems. Experience with ROS2, UAV simulation (e.g., AirSim), and real-time system integration. Strong programming skills in C++ and Python. Excellent
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field Experience working with cryogenic thermal-vacuum systems Experience developing electrical systems and data acquisition with Python or LabView Preferred Qualifications: Expertise in planetary
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. Preferred Qualifications: Experience in machine learning, Python programming; first-principles studies of thermodynamics and defects in solids; experience in NEB calculations. Special Instructions
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neural networks, knowledge graphs, and graph databases - Proficiency in programming languages such as Python, R - Excellent analytical and problem-solving skills - Strong communication and teamwork
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analytics - Proficiency in Python, deep learning frameworks (e.g., PyTorch, TensorFlow), and large-scale data analysis Additional Application Materials Required Cover letter CV Research Statement or Relevant
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. Programming Proficiency: Strong programming skills in Python, with experience in deep learning frameworks such as TensorFlow, PyTorch, and associated libraries. Research Excellence: Proven track record
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., cracking systems, storage, gas power cycle, gas turbine) Familiarity with Systems Engineering approach Experience with: ASPEN plus ASPEN Hysys Python or relevant programing language Transient simulations
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social science, or a closely related field is required. -Candidates with solid knowledge and experience in agent-based modeling (NetLogo), machine learning methods (Python), deep neural networks, or social