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state-of-the-art campus and infrastructure, has woven a sound academic and research network, and its recruitment process is seeking high quality academics and professionals in order to boost its quality
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Computer Science, Machine Learning, Natural Language Processing (NLP), or a related field, with a thesis focused on AI, specifically LLMs. The candidate will apply their expertise to advance predictive
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Design and execute experiments to study molecular and physiological processes in plants. Utilize tools such as proteomics, and metabolomics. Analyze plant phenotypes under controlled and stress conditions
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of education and development. This unique nascent university, with its state-of-the-art campus and infrastructure, has woven a sound academic and research network, and its recruitment process is seeking high
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beneficial plant-growth-promoting traits (N fixation, phytohormones production, P, K and Zn solubilization, etc.). Improving our understanding of rhizosphere processes (exudation of organic acids and
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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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of the physical processes driving the region’s water cycle, uncovering the causes of observed changes, and improving our predictive capabilities of future climate trends. This position focuses on applied research
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in preparation and characterization of organic/inorganic materials (NMR, XRD,GC-MS FTIR, SEM, TGA, ICP…) are expected. Application and Selection Process Applications must be submitted online
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…) are expected. Application and Selection Process Applications must be submitted online; the folder must contain: A cover letter detailing the candidate's motivation for applying to this position. A comprehensive
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to dissect regulatory networks in model and/or crop plants. Key Responsibilities Design and execute experiments to study molecular and physiological processes in plants. Utilize tools such as proteomics, and