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Science, Earth Sciences, or related fields. - Strong background in isotope hydrology, ecohydrology, and modeling techniques. - Experience in fieldwork, data analysis, and scientific writing. - Excellent
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of biology and the effect of mutations. He/she would also be required to have a sound computational background, especially in the area of simulations. Criteria of the candidate: PhD in the field
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technologies and urban health. The successful candidate will develop innovative solutions based on the analysis of urban data (big data, IoT, GIS) to monitor and improve public health. You will contribute
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skills are expected: PhD in Chemical Engineering, Materials Science, Chemistry, or a related field. Expertise in adsorption or membrane-based separation technologies (e.g., gas separation, water treatment
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, Organization of field trips, data collection and lab work, Spectral data analysis, data processing, and model development, ‘R’ or Python programming, Co-supervise PhD and undergraduate students. Be willing to be
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guide their research work. Candidate Profile Due to the multidisciplinary character of ACER CoE, the ideal candidate must have as well a multidisciplinary scientific profile: PhD degree in Electrical
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of field projects, data analysis, and publication of results in high-level scientific journals. • Interdisciplinary Collaboration: Work closely with experts in ecology, hydrology, urban planning, and
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. The objective of the research is to use an integrated approach combining numerical and analytical techniques, simulations and analysis of available experimental data to study and provide efficient
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, simulations and analysis of available experimental data to study and provide efficient solutions for sustainable management of water at the farm-scale. Our goal is to create a scalable and cost-effective
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and regional scales. Proficiency in programming (e.g., Python, R) and experience with machine learning for geospatial data analysis. A strong track record of publishing research articles in high-impact