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motivated candidate with a PhD from a recognized University who is passionate about developing innovations that have direct impacts on farmers in arid lands. The candidate will participate in evaluating plant
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undergraduate and graduate-level courses in algal biotechnology (algal cultivation and bioprocessing), Mentor junior faculty members and supervise postdocs, PhD and MSc students, research engineers, and
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results, prepare presentations and manuscripts, and publish in high-quality peer-reviewed journals. Prepare innovative research projects and prepare grant-proposals Supervise Postdoc, PhD and Master
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master students and PhDs Education, qualifications, and experience Applicants must have an earned doctorate in Agronomy, Soils Sciences with hands-on the dynamic of Organic Matter in the soils, or Soil
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libraries for modern architectures (e.g., GPUs). Exploration of linear algebra methods in computational physics applications and machine learning. Integrate and benchmark the GINGKO library, a sparse solver
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, grant applications, and stakeholder engagement materials to sustain and expand research activities. Candidate Profile: PhD in related fields Excellent communication in both English and French languages
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collaboration between Geology and Sustainable Mining Institute (UM6P, Morocco), and Mineral-X (Stanford University, USA). Qualifications PhD in process mineralogy, mineral processing, mining, chemical or
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journals in the field. Participate to the supervision of PhD students and research internships. Criteria of the candidate: PhD in the field of Cryptography, Computer security or any related field. Strong
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using advanced geological modeling tools such as Datamine software, Leapfrog Geo and Surfer. Supervise MSc/PhD students working on related tasks. Publish high-impact papers and contribute to funding
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learning methods. Develop deep learning architectures (e.g., variational autoencoders, graph neural networks, transformers) for cross-omics data representation and feature extraction. Apply multi-view