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the expertise, methods, and software to enhance privacy, data protection, and transparency; notably by the use of cryptography, blockchains and smart contracts, machine learning, software verification, device and
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units. Through cartography, these units are organized into latent spaces that can be explored as structured landscapes. In this way, machine learning becomes a tool for mapping high-dimensional data
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technologies Data analysis of real-world monitoring data Artificial intelligence and machine learning for engineering applications Researchers in COMBINE benefit from interdisciplinary, international,and inter
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, Enviromental, and Geomatic Engineering, has an opening for a PhD student. This position focuses on leveraging vehicle sensors, remote sensing, and machine learning to support modern urban road safety analysis as
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academic and industrial research. The topic of the PhD position sits at the crossroads of quantum computing, machine learning, and combinatorial optimization — an area where some of the most exciting and
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Computer Science, Data Science, Artificial Intelligence, Machine Learning, or a related field. Exceptional BSc candidates with strong engineering experience will also be considered. Experience in AI and neural
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The Computer Security Group is a research group in the Department of Information Technology and Electrical Engineering at ETH Zürich. We are interested in a variety of hot topics in the area of
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be advantageous. Experience in medical imaging, computed tomography, image analysis, or morphometric analysis. Experience with machine learning, statistical modelling, parameter estimation, model
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circuits to computer networks, from wireless communications to signal processing, and from control theory to electric energy. It offers a highly interdisciplinary research environment with strong expertise
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-particle analysis Semiconductor nanocrystals, quantum dots, or other nanoscale materials Machine learning Scientific programming and quantitative data analysis Prior experience with every technique used in