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with IBRs. You will possess: experience in working with the state-of-the-art power system analytical tools; demonstrated experience in programming skills; demonstrated experience in preparing and
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oversee the operation of the state-of-the-art analytical facilities (LA-ICP-MS, FEG-SEM) and conduct research on combining geochemistry, petrology, and modelling to better understand the signs of a
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experimental experience would be preferred. Excellent analytical and problem-solving skills. Ability to work independently, manage projects, and meet deadlines. Effective communication and presentation skills
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researchers, e.g., PhD students and Research Assistant, to help with the vision and data analytics tasks. Discussion and study recent papers and baseline codes in this field. Report to advisor and the team
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researchers, e.g., PhD students and Research Assistant, to help with the vision and data analytics tasks. Discussion and study recent papers and baseline codes in this field. Report to advisor and the team
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to computational modeling, simulations, and advanced data analytics for scientific discovery in materials science, biology, astronomy, environmental science, energy, particle physics, genomics, and other scientific
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, machine learning or AI to computational modeling, simulations, and advanced data analytics for scientific discovery in materials science, biology, astronomy, environmental science, energy, particle physics
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technologies, analytics, and artificial intelligence in the healthcare sector. Candidates with a strong background in their disciplinary theories are preferred. We welcome applications from candidates motivated
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communication skills, including strong writing, research, and interpersonal skills High-level conceptual, analytical, and critical appraisal skills Demonstrated initiative and ability to work both independently
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Institute. This is an exciting opportunity for a creative problem solver with a manufacturing background and strong analytical, strategic, and critical thinking skills to shape a brand-new research area