41 linked-data "https:" "https:" "https:" "https:" "https:" Postdoctoral positions in Morocco
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Science, fostering partnerships with industry and local stakeholders. Project summary (one line) Develop farmer-centric systems that fuse multi-modal remote sensing, soil and phenology data to enable crop
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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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with diverse cropping systems, including legumes, cereals, grasses, and vegetables. The appointed candidate will conduct field, greenhouse, and laboratory trials, analyze data, and publish findings in
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. Analyzing meteorological, soil, and energy production data. Contributing to the modeling of PV performance under local conditions. Participating in the writing of scientific and technical
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SUSMAT-RC - Postdoc Position in Computer-Aided Design and Discovery of Sustainable Polymer Materials
Center (SusMat-RC) at UM6P. The successful candidate will work on an exciting project focused on extracting and analyzing experimental and computational data to develop predictive models for polymer
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SUSMAT-RC - Postdoc Position in Computer-Aided Design and Discovery of Sustainable Polymer Materials
Center (SusMat-RC) at UM6P. The successful candidate will work on an exciting project focused on extracting and analyzing experimental and computational data to develop predictive models for polymer
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techniques to enhance data-driven decision-making, adaptability, and safety within agriculture systems. AI Knowledge for Agriculture: Build LLM and NLP tools, and open-source dataset for agriculture use
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structure using single-crystal X-ray diffraction data. Experience in solving crystal structure using powder X-ray diffraction data or electronic diffraction data would be a plus. Knowledge in
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focus on developing methods/tools that use multi-source remotely sensed data. The research aims to improve our understanding of the integrated functioning of continental surfaces and their interaction
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predictive maintenance challenges. Develop and fine-tune LLMs to analyze and interpret unstructured data (e.g., maintenance logs, sensor data, technical reports) for predictive insights Collaborate