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developing scalable, student-centred services and managing complex stakeholder networks. Background in international education, transnational campuses, or global student support services. Strong understanding
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, application of machine learning methods to climate science. Climate models of varying complexities and their possible mitigation strategies. Emergence of extreme events in weather and climate. Research
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real-world solutions and contribute to a sustainable future. Building upon a strong foundation in core engineering and scientific principles, the M.Tech. program delves into the complexities of renewable
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. You will have ample opportunity to work with highly complex research datasets in the areas of population genetics and genomics, epigenomics (Karadimitris, Crump, Feldhahn, Agrawal Singh, Chaidos