44 phd-position-in-data-modeling Postdoctoral positions at MOHAMMED VI POLYTECHNIC UNIVERSITY
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29 Oct 2025 Job Information Organisation/Company MOHAMMED VI POLYTECHNIC UNIVERSITY Research Field Psychological sciences Sociology Ethics in social sciences Researcher Profile Recognised Researcher
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infrastructure. With an innovative approach, UM6P places research and innovation at the heart of its educational project as a driving force of a business model. About Entity (Hiring entity): ASARI is positioning
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seawater desalination using the concept of desalination dilution by integrating a hybrid Forward Osmosis (FO) — Reverse Osmosis (RO) system. The work of this project includes lab work, computer modelling
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data. Develop models and techniques to quantify water supply and irrigation efficiency in agricultural landscapes. Collaborate with multidisciplinary teams to integrate remote sensing data with ground
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3 Dec 2025 Job Information Organisation/Company MOHAMMED VI POLYTECHNIC UNIVERSITY Research Field Chemistry Engineering Chemistry Researcher Profile Recognised Researcher (R2) Established Researcher
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3 Dec 2025 Job Information Organisation/Company MOHAMMED VI POLYTECHNIC UNIVERSITY Research Field Engineering Researcher Profile Recognised Researcher (R2) Established Researcher (R3) Country
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methods for detecting the timing and frequency of irrigation events from time-series remote sensing data. Develop models and techniques to quantify water supply and irrigation efficiency in agricultural
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3 Dec 2025 Job Information Organisation/Company MOHAMMED VI POLYTECHNIC UNIVERSITY Research Field Architecture Researcher Profile Recognised Researcher (R2) Established Researcher (R3) Country
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and application of Large Language Models (LLMs), to join our team working on predictive maintenance solutions. The ideal candidate will have recently completed (or be close to completing) a PhD in
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related to staff position within a Research Infrastructure? No Offer Description Call for Postdoctoral Researchers in Artificial Intelligence (AI) – Focus on Large Language Models (LLMs) for Predictive