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Phosphate Mine: Integration of Multidisciplinary Data,” we are recruiting a web and server developer to work on the integration of AI and geostatistics. The project aims to deliver a geospatial
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Artificial Intelligence (AI), particularly in the development and application of Large Language Models (LLMs), to join our team working on predictive maintenance solutions. The ideal candidate will
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publications and one patent contribution. Workflow for morphing UAV design established at UM6P. Profile of the Research Assistant Candidate & Application Materials Engineering degree (Bac+5) or equivalent in
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. Application Package: Cover letter Detailed CV List of publications Copies of degrees Professional references (minimum of 2) Share this job Facebook Twitter LinkedIn Apply now Apply for GSMI
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SUSMAT-RC - Postdoc Position in Computer-Aided Design and Discovery of Sustainable Polymer Materials
standards. Application and Selection Application folder must contain: Detailed CV. Motivation letter, emphasizing your specific interest and motivation Brief research statement. Contact information
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. Excellent communication skills and strong analytical, teamwork, and organizational abilities. Application: Applications should be submitted online and emailed to [email protected] with the
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SUSMAT-RC - Postdoc Position in Computer-Aided Design and Discovery of Sustainable Polymer Materials
standards. Application and Selection Application folder must contain: Detailed CV. Motivation letter, emphasizing your specific interest and motivation Brief research statement. Contact information
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. French/Arabic useful for local engagement. Application materials (required) Cover letter (fit with CropID + available start date). CV with links (ORCID, GitHub). Research statement (1–2 pages) with a 12–18
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microbial ecology and soil biochemistry in stress adaptation. Background in field and greenhouse experimental design . Application Process: Applicants should submit the following documents: Cover letter
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proposed (not limited): Computer Vision / Remote Sensing for Agriculture: Explore the application of computer vision and remote sensing techniques to enhance data-driven decision-making, adaptability