99 post-doc-image-processing Postdoctoral positions at MOHAMMED VI POLYTECHNIC UNIVERSITY in Morocco
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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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data processing Strong publication record in relevant fields. Ability to work in a multidisciplinary team and collaborate across research groups. Preferred Qualifications: Experience in functional
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exploration and characterization of igneous systems. The successful candidate will join a dynamic research group focused on advancing our understanding of carbonatite geology, mineralization processes, and
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processing and integrating massive multi-omics datasets from clinical cohorts. Key Responsibilities: Design and implement AI/ML pipelines for multi-omics data integration, including supervised and unsupervised
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, ThingsBoard, etc. Familiarity with Edge Computing architecture to process data locally before transferring it to the cloud. Implementation of pipelines to collect real-time data from IoT sensors. Expertise in
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, the candidate will be involved in collaborations with academic and industrial partners, participation in funding proposals, and mentoring graduate students. Key Responsibilities: Synthesis and Processing of novel
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, the candidate will be involved in collaborations with academic and industrial partners, participation in funding proposals, and mentoring graduate students. Key Responsibilities: Synthesis and Processing of novel
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The Chemical and Biochemical Sciences-Green Process Engineering at the University of Mohammed VI Polytechnic Benguerir Morocco seeks Postdoctoral applicants in Proteomics and Drug Development. Job
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, data science applied to health or urban planning, smart urban systems, or a related field. Expertise in Big Data Analysis: Proven expertise in analyzing and processing large urban datasets for public
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. Simulation Tools: Proficiency in simulation software (e.g., AnyLogic, SimPy, MATLAB/Simulink) to replicate waste management systems. Waste Management Processes: In-depth understanding of waste collection