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contribute to patents or technical innovations. Qualifications: PhD in Artificial Intelligence, Machine Learning, Data Science, Electrical Engineering, or a related field. Strong experience in developing and
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as well a multidisciplinary scientific profile: PhD degree in Electrical Science, Energy Processes or another suitable engineering discipline. Sound background in Energy systems and Fuel cell hydrogen
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PhD (complete or imminent) in Renewable Energy, Electrical Engineering, E-Mobility, Mining Engineering, or related field. Proven publication record in sustainability, energy systems, simulation, and/or
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documenting experimental research results. Working closely with project partners. Candidate Profile: PhD in solar energy, electrical engineering, or environmental sciences. Proficiency in PV systems
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(or be close to completing) a PhD in Computer Science, Machine Learning, Natural Language Processing (NLP), or a related field, with a thesis focused on AI, specifically LLMs. The candidate will apply
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research clusters including Energy Transition, Surface Technology and Metallurgy, Polymers and Composites, and Sustainable Materials. With some 100 researchers and PhD students and several national and
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required PhD in one of the following fields: electronics and embedded systems, telecommunications, industrial computing, electrical engineering or equivalent. Expertise in the design, prototyping and
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as well a multidisciplinary scientific profile: PhD degree in Electrical Science, Energy Processes or another suitable engineering discipline. Sound background in Energy systems and Fuel cell hydrogen
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alternatives—such as in-pit crushing & conveying, trolley-assist systems, and battery-electric trucks—in strip mining operations. This research is part of OCP’s Strategic Business Unit (SBU) Mining initiative
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, continentally, and internationally as a leading institution for education and research. UM6P offers highly competitive incentives to its current and future talented research staff. About LIMSET LIMSET