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. Apply machine learning and deep learning techniques to improve image processing and trait prediction. Analyze large datasets generated by the Phenomobile.v2+ to identify key traits affecting crop
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conferences. Candidate profile PhD degree in Materials Science, Chemical Processes, or another suitable engineering discipline. Knowledge in heterogeneous catalysis Experience in process engineering Knowledge
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& Biochemical Sciences Green Process Engineering (CBS) The Chemical & Biochemical Sciences Green Process Engineering Department (CBS) is an entity of the Mohammed VI Polytechnic University (UM6P). The main
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applications in linkage with incubation and start-up ecosystems. About the Chemical & Biochemical Sciences Green Process Engineering (CBS) The Chemical & Biochemical Sciences Green Process Engineering Department
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. Collaborate on multidisciplinary projects involving high-throughput phenotyping platforms. Apply machine learning and deep learning techniques to improve image processing and trait prediction. Analyze large
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, AgroBioSciences Program. Position: Postdoctoral Researcher in biological and thermochemical processes Duration: 2 years (CDD) Description The Mohammed VI Polytechnic University (UM6P) has an opening for post
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Programme? Not funded by a EU programme Is the Job related to staff position within a Research Infrastructure? No Offer Description Post-Doctoral Fellow Position: Development of innovative biomass processing
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various types of biomass, focusing on the development of efficient, sustainable, and scalable processes. This role provides an excellent opportunity to contribute to advancing renewable materials research
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. The successful candidate will work on optimizing methods for nanofibers extraction from various types of biomass, focusing on the development of efficient, sustainable, and scalable processes. This role provides
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Management:Assist in managing research projects, including drafting funding proposals, coordinating with partners, and monitoring budgets. Required Qualifications : PhD: A PhD in digital public health, urban health