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record in machine learning, with preference for expertise in representation learning, deep embeddings, contrastive learning, or foundation models. Solid background in linear algebra, probability, and
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partners. Qualifications Ph.D. in Computer Science, Applied Mathematics, or a related field. Strong publication record in machine learning, with preference for expertise in representation learning, deep
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innovation but also a deep understanding of human behavior, social acceptance, consumer preferences, and market dynamics. Vertical Farming is emerging globally as a transformative solution capable of
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towards sustainable food systems requires not only technological innovation but also a deep understanding of human behavior, social acceptance, consumer preferences, and market dynamics. Vertical Farming is
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artificial intelligence in a collaboration between Geology and Sustainable Mining Institute (UM6P, Morocco), and Mineral-X (Stanford University, USA). Qualifications PhD in process mineralogy, mineral
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interactions in plant ecosystems and making strides towards sustainable agricultural solutions. Visit our website at https://agc.um6p.ma for further details. The ideal candidate must possess a PhD degree in
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; Selection criteria: The position is open for candidates holding a PhD relating to crop protection, complete in the past five years. Experience in formulation technology and chemical characterization
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PhD students and research assistants involved in the project. Provide training on experimental techniques, data analysis, and scientific writing. Requirements: Educational background: A Ph.D. in Plant
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of project reports, patents, presentations and published papers; Selection criteria: The position is open for candidates holding a PhD relating to crop protection, complete in the past five years
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assimilation, machine learning, and seasonal weather forecasts. As a Postdoctoral Research Fellow, you will play a crucial role in developing and testing statistical models for the accurate forecasting