9 condition-monitoring-machine-learning Fellowship positions at MOHAMMED VI POLYTECHNIC UNIVERSITY in Morocco
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candidate in the area of machine learning for IoT networks. The candidate must hold (or about to complete) a PhD in the related fields shown below. The candidate is expected to have hands-on experience in
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. The main objective of the project is to study the interaction between machine learning and wireless communication fields. The successful candidate will answer questions such as how to assign limited
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and machine learning to optimize treatment conditions. Contribute to the development of reproducible stress priming methods and assist in transferring knowledge to agricultural stakeholders. Required
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research, oncology microbiomes, or environmental resistome surveillance. Familiarity with spatial metagenomics, single-cell microbiome analysis, or multi-omics data integration. Knowledge of machine learning
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English is a must. Candidate Criteria: Ph.D. in Materials Engineering, Polymer Chemistry, Chemistry, Electrochemistry, or other related fields from a recognized university. Willingness to learn how
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imbalances in the gut microbiota contribute to chronic inflammatory conditions, colorectal cancer (CRC), and immune dysfunction, with an emphasis on discovering biomarkers and developing microbiome-based
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About Mohammed VI Polytechnic University (UM6P) Mohammed VI Polytechnic University (UM6P) is an internationally oriented institution of higher learning, that is committed to an educational system
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About Mohammed VI Polytechnic University (UM6P) Mohammed VI Polytechnic University (UM6P) is an internationally oriented institution of higher learning, that is committed to an educational system
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; Experience in developing and validating methods, operating and troubleshooting different gas/vapor adsorption/membrane testing instruments; Willingness to learn how to generate new ideas, links, and to build