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interdisciplinary team comprising chemists with expertise in organic chemistry, reactor design and innovative process analytics, and engineers with skills in fluid modelling, Life Cycle Assessment and sustainability
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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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the last 3 years; Meticulous with positive work attitude, passionate for research, and able to work in a fast-paced research environment as a team member; Excellent problem-solving and analytical skills
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society from analytical and empirical perspectives. The NOMIS Fellowship Program supports groundbreaking research projects related to how images act as models or paradigms in scientific and aesthetic
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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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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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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