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innovative methodological approaches. Produce publications on research in scientific journals. Participate in teaching activities. Develop new research proposals. Required Qualifications: Ph.D. in Data Science
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: PhD in solar energy, electrical engineering, or environmental sciences. Proficiency in PV systems, instrumentation, and performance measurement. Experience in processing environmental data (Python, R
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of reports, dissertations and end-of-study papers. Skills Expertise in the following fields: Chemical and process engineering. Modeling (first-principles and data-driven models), simulation and optimization
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, reports and projects. Oral and written communication skills. Computer skills/programming/modeling would be a plus. Candidate Criteria Ph.D. in Analytical Chemistry or a related field. Extensive experience
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and contributing to scientific reports and publications. 3. Candidate Profile PhD in Mining Engineering, Industrial Engineering, Operations Research, Data Science, or a related field. Advanced expertise
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Polytechnic University aspires to leave its mark nationally, continentally, and globally. About ACER CoE: The centre has been recently created to address enduring process challenges in Chemistry and Engineering
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Polytechnic University aspires to leave its mark nationally, continentally, and globally. About ACER CoE: The centre has been recently created to address enduring process challenges in Chemistry and Engineering
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molecules in chemistry, pharmaceuticals, and agrochemicals. The position provides a unique opportunity to work at the forefront of computational chemistry and AI, contributing to high-impact research with
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Intelligence, Machine Learning, Data Science, Electrical Engineering, or a related field. Strong experience in developing and applying AI/ML models to energy systems or similar applications. Proficiency in
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tools, data science techniques, and spatial analysis to leverage big data from cities and model their evolution. Main Tasks and Responsibilities: Collect, clean, and structure large volumes of urban