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: Preferably PhD degree in Computer Engineering, Computer Science, Electronics Engineering or equivalent. Independent, highly analytical, proactive and a team player Excellent teamwork and verbal, written
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. Strong programming and analytical skills (e.g., Python, R, GIS, modeling frameworks). Experience working with EO data, disease surveillance data, or socio-environmental modeling. Demonstrated interest in
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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. You will
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in CSCs, and to translate these insights into a novel analytical framework. The resulting tools and methodologies will inform evidence-based policymaking and support a safer, more resilient global
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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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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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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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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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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