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Collaborative Doctoral Project (PhD Position) - AI-guided design of scaffold-free DNA nanostructures
nano-structures. In this project, we will combine numerical models, experiments, and artificial intelligence (AI) to guide the design of specific DNA nanoconstructs. The primary goal is to build an AI
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and optimizing building designs will be developed. The goal of this project is to develop a methodology for automatically checking building designs against regulations, and then provide reasoning about
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practical research work, including lab experimentation, working with CAD models, and performing battery tests. You'll be part of a cross-disciplinary program aiming to design and validate next-generation
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The Max Planck ETH Center for Learning Systems (CLS) addresses cross-disciplinary research questions in the design and analysis of natural and man-made learning systems. The excellent engineering
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of Electrical Engineering and Computer Science School of Art and Design Course language German and English Financial support No Structured research and supervision Yes Research training / discussion Yes Career
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computing architectures, replacing conventional structureless and deterministic LIF point-neuron models. This is pursued through circuit designs that exploit and control memristor dynamics (e.g., local
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calibration processes by applying methods from artificial intelligence, and you take responsibility for their training and validation. Develop multimodal sensor systems: You design and implement complex
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designed to support a PhD pathway in collaboration with the Institute of Computer Science at University of Bonn. Be part of change Your research focus Learning- and optimization-based methods for physics
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implementation of complex coding schemes (e.g., participation & belonging, inclusion, recognition, justice) in NLP pipelines: from guidelines/definitions to label formats to model and evaluation design. Setting up
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an international scientific conference Courses offered in this year’s Doctoral Summer School Theoretical Perspectives in Management Qualitative Research Methods Survey Design and Measurement in Social