141 fully-funded-phd-program-computer-science-eth Postdoctoral positions at MOHAMMED VI POLYTECHNIC UNIVERSITY
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, and research articles, and participate in conferences. Candidate Profile PhD degree in Materials Science, Chemical Engineering, or a related field. Strong background in materials synthesis and
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to teaching activities or other transversal training. Disseminate research outcomes through participation in scientific events and publish in leading international journals. Desired skills and experiences: PhD
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, telecommunications, industrial computing, electrical engineering or equivalent. Expertise in the design, prototyping and deployment of IoT solutions for environmental and energy applications. Solid knowledge
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Qualification: A PhD degree in physics, materials chemistry, engineering physics, materials science or similar with focus on semiconductor materials or solar cells, with a focus on perovskite solar cells. Strong
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, and academic institutions. Required Qualifications PhD in one of the following fields: smart urban systems engineering, computer science applied to urban infrastructure, data science, or a related field
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must have: PHD with skills in one of the following fields: history, philosophy, anthropology, sociology, psychology Rigor / motivation, Good communication skills, Teamwork An appropriate scientific
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for the position: The candidate must have: PHD with skills in one of the following fields: history, philosophy, anthropology, sociology, psychology Rigor / motivation, Good communication skills, Teamwork
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pilot tests. Draft technical reports and scientific publications. Coordinate with internal researchers, external labs, and industrial partners. Candidate Profile: Required qualifications : PhD in Mineral
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research interests in sedimentary geochemistry, sedimentology, and georesources. The successful candidate will contribute to a multidisciplinary research program aiming to advance our understanding
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and Technology Transfer Center (AITTC), part of the College of Agriculture and Environmental Sciences (CAES), is dedicated to delivering high-impact research and services in agronomy, soil fertility