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Field
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Carbon Capture System Design, Operation, and Test The ideal candidate should have all or several of the following academic and personal qualifications: A PhD in chemical engineering, process engineering
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with a PhD in computer science, engineering, robotics, or a related field, evidenced by a strong publication record. Candidates should possess experience in robotics, drones, UAVs, multi-robot systems
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Essentials PhD (completed or near completion) in Computer Science, Computer Vision, NLP, Machine Learning, Computer Graphics/Animation, HCI, or a related field. Strong background in deep generative
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. Qualifications and Experience possess a PhD in Computer Science, Robotics, Mechatronics, Biomedical Engineering, or a related discipline; demonstrate strong programming proficiency in C++ and/or C#, with a solid
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Environmental Science (CAES) and AgroBiosciences Program (AgBS) at UM6P: The College of Agriculture and Environmental Science (CAES) is a component of the Science & Technology pole of Mohammed VI Polytechnic
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a multidisciplinary team. Preferred qualifications: Experience in grinding technology. Familiarity with process simulation software (e.g., USIMPAC, MODSIM, METSIM). Prior collaboration with industrial
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join a highly collaborative laboratory focused on the development and application of MRI technology and analysis software in the Department of Biophysics, with access to state-of-the-art instrumentation
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of results in scientific journals Requirements PhD in Physics, Engineering, Economics, Environmental Sciences, Mathematics, System Sciences or a related field training in formal, quantitative methods
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, structural sensing and health monitoring, conducting physical experiments, and validation of computational models. Required Qualifications: A successful applicant must have a PhD in Civil Engineering
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Qualifications & Skills: - Academic background in analytical chemistry, chemistry, food chemistry, or chemical engineering - Strong experience with GC-MS, preferably in food or biological sample analysis