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AI4Science project, specifically focusing on the intersection of advanced machine learning and sustainable catalysis discovery. The primary incentive of this Postdoctoral Fellowship is the chance to contribute
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materials (sputtering, PLD, wet-chemistry approaches), lithography (optical, e-beam), magnetometry equipment (VSM, MOKE), electrochemistry (galvanostats), ferroelectric characterization of materials
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assisting with in-situ TEM measurements, facilitating cutting-edge research in sustainability and energy fields. Part of the project will also include the development of deep learning frameworks for TEM image
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detection, etc.) obtained from preclinical studies and investigations using different disease models. The post does not require the candidate to hold a license for preclinical model experimentation. General