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research topics, attracting new MSc and PhD students, and expanding the Institute's capacity for policy-relevant training. Attract competitive funding and lead collaborative projects at national and
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Required Qualifications: PhD degree in Earth, Environmental or Agricultural Sciences or a related field Proven experience in wind or water erosion field research (e.g., MSc/PhD project) Experience in using
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, deep learning, natural language processing, and generative AI models. • Collect, clean, annotate, structure, and analyze datasets required for AI model development and evaluation, including text data
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