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optimization, and technology development as part of ongoing projects focused on advancing Power-to-X solutions for a sustainable energy future. Expected start date and duration of employment This is a one–year
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information is lost through this depreciated sampling frequency remains unknown. DETERMINER aims to determine the optimal sampling frequency for detecting externally driven phytoplanktonic change while also
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for optimizing complex energy systems. Research at IITD-AD directly confronts the core challenges of this transition, with focused investigations aimed at enhancing efficiency, minimizing environmental impact
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research questions. This postdoctoral scholarship offers the opportunity to be a part of this AI revolution by developing novel neural network architectures specifically optimized for plant genomic data. Our
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lung and other malignancies, affording access to patient samples and large tumor databases. Specific research areas of interest include development of optimized strategies for efficient and specific