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Good knowledge of AI and applied Machine Learning Hands-on experience with High Performance Computing Systems Basic knowledge of System Architecture of Supercomputers and NVidia-GPUs Practical experience
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/inference), networking (e.g., P4, eBPF), and FPGA Specific Requirements Keen interests in network hardware, architecture, and practical systems research Good knowledge and understanding of computer networks
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research focuses on the study of quantum magnetism at the atomic scale. We build artificial quantum architectures from single atoms and molecules on surfaces and on probe tips, control their spin states, and
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positions are funded by the German Research Foundation (DFG) for 3 years, with the possibility of extension. Your profile: • Master's degree in a relevant field such as computer science, optometry, psychology
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expression patterns. Our approach combines genomic, molecular, neurobiological, comparative, and computational methods to link genome architecture to neural circuit organization and to understand
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scope of different subjects such as electrical engineering/electronics, microelectronics, microsystems technology, information technology, computer science, physics, chemistry, optics and manufacturing
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data structures, machine learning, computer graphics and vision, database systems, artificial intelligence, logical methods, programming languages, computer architecture, and security, to name but a few
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Degree PhD Course location Potsdam In cooperation with This programme is offered by the Faculty of Digital Engineering, a faculty jointly founded by the Hasso Plattner Institute (HPI) and the
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full-time Mode of study Less than 50% online Programme duration 6 semesters Beginning Winter semester Additional information on beginning, duration and mode of study Combination of on-site and online
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Computer Science Opportunity to travel to prestigious international research conferences Excellent training and career support opportunities (courses, personal coaching) Your qualifications Excellent Master’s degree