11 complex-network "Mohammed VI Polytechnic University" Postdoctoral positions in Morocco
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About Mohammed VI Polytechnic University (UM6P): Located at the heart of the Green City of Benguerir, Mohammed VI Polytechnic University (UM6P), a higher education institution with an international
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Employer: MOHAMMED VI POLYTECHNIC UNIVERSITY Location: Morocco (MA) Closing date: 15 Aug 2025 Academic Discipline: Engineering & Technology , Chemical Engineering Job Type: Academic Posts , Postdocs
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. The successful candidate will develop advanced machine learning (ML) models to automate and optimize retrosynthetic analysis, facilitating the discovery of efficient and sustainable synthetic routes for complex
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Located at the heart of the Green City of Benguerir, Mohammed VI Polytechnic University (UM6P), a higher education institution with an international standard, was established to serve Morocco and
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of Agriculture and Environmental Sciences: Center of Excellence of Soil and Fertilizer Research in Africa at the Mohamed VI Polytechnic University (CESFRA) aims to evolve a continental hub of knowledge, skills
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Institution Overview Mohammed VI Polytechnic University is a leading research and innovation institution in Africa, committed to economic and human development. The university places research and
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perspectives of of collaboration with a modelling team at Cirad. Job application: The Global Critical Zone Science Chair at the Mohammed VI Polytechnic University (UM6P) invites applications for a two years
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Location: Benguerir, UM6P Contract Type: Fixed-Term Contract (FTC) Duration: 2 years Start Date: As soon as possible Job Description: The specialist in urban energy networks is responsible
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to uncover biomarkers, therapeutic targets, and mechanistic insights into complex diseases. The project addresses critical challenges in personalized medicine, disease stratification, and multi-modal data
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CBS - Postdoctoral Position, Artificial Intelligence Applied to Metabolomics for Health Applications
, and Precision Health. The project aims to leverage AI and machine learning (ML) to analyze complex metabolomics datasets and address key health challenges, including biomarker discovery, disease