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Field
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PhD position in interpretable machine learning for dementia prediction. The project focuses on developing interpretable deep learning models for dementia prediction using multi-modal data, including MRI
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individual opportunities for personal and professional development Comprehensive company health management Optimal conditions for balancing work and private life as well as a family-conscious company policy 30
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institutional support, and the opportunity to develop professional skills prepare our PhD researchers for leading academic and research careers in academic and non-academic institutions. The Hertie School is part
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young and experienced scientists from various disciplines develop interactive materials based on the principles of nature. It is a location at which people with different talents, experiences and skills
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young and experienced scientists from various disciplines develop interactive materials based on the principles of nature. It is a location at which people with different talents, experiences and skills
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unique opportunity to learn about the most recent developments in the corresponding fields first-hand. Faculties Faculty of Mathematics, Informatics and Natural Sciences: Department of Physics Department
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. This presents a fantastic opportunity to develop competencies beyond those typically acquired when undertaking the more traditional (single award) PhD. Graduate researchers have the ability to train in two expert
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PhD Position (m/f/d) - Atomic Layer Deposition (ALD) of transition metals for biomedical application
The Leibniz Institute for Solid State and Materials Research Dresden e. V. (IFW Dresden) conducts modern materials research on a scientific basis for the development of new and sus-tainable
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to understand the role of microbiota in the development and therapy response of PDAC. We work in a highly motivated and international team in close collaboration with our colleagues at the German Cancer research
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code via differential testing) We focus on techniques that apply to real-world software systems. E.g., in the past, we have developed techniques that find and fix bugs in widely used Python, Java, C/C