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Knowledge of biogeochemical cycles Experience with process-oriented modeling Selection Criteria PhD degree or Master degree in a field such environmental sciences, agronomy, applied mathematics
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presentations; Collaborate with internal teams, partner laboratories, and industrial stakeholders. Candidate Profile: Required qualifications : PhD in Mineral Processing, Hydrometallurgy, Chemical Engineering, or
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Profile: Required qualifications : PhD in Mineral Processing, Hydrometallurgy, Chemical Engineering, or related discipline; Proven experience in ore characterization and process development; Strong
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candidate must have as well a multidisciplinary scientific profile: PhD degree in materials science, chemical engineering, chemical Processes or another suitable engineering discipline. Knowledge about
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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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to the chemical and Process Engineering stream. The candidate will also be expected to participate in UM6P's collective projects and external missions, and to provide support to students (PhD and Master), i.e
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recently completed (or be close to completing) a PhD in Computer Science, Machine Learning, Natural Language Processing (NLP), or a related field, with a thesis focused on AI, specifically LLMs
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mentor MSc and PhD students involved in related research activities, providing guidance in experimental design, data analysis, and manuscript preparation. Contribute to grant writing, proposal development
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required PhD in one of the following fields: electronics and embedded systems, telecommunications, industrial computing, electrical engineering or equivalent. Expertise in the design, prototyping and
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publish in leading international journals. Desired skills and experiences: PhD in crop physiology, microbiology, plant molecular physiology, or related fields. Strong knowledge about plant-soil-microbes