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-scale datasets Implement parallel ML training on the High Performance Computers, including JUPITER, Europe`s first exascale computer Prepare, process and publish datasets and benchmarks for self
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) for scientific and large-scale datasets Implement parallel ML training on the High Performance Computers, including JUPITER, Europe`s first exascale computer Prepare, process and publish datasets and benchmarks
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Your Job: Work on a wide range of computer vision and machine learning methods and applications focusing on the aspects outlined above, inspired by the needs of societally relevant applications, e.g
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of problems and ability to master complex systems Solid programming skills in C++ or another object-oriented language Interested in the areas of computer architecture and multi-core processors Knowledge of gem5
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Experience in electrochemistry and polymer chemistry desirable Good mechanical and electronics skills, motivation to building new devices Excellent ability to work as a part of interdisciplinary team and in
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that might optimally lead to these representation. We then aim to understand whether the obtained objectives, applied in a layer-local manner, lead to performant deep network learning. Your tasks in detail
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Your Job: We are working on scalable electronic architectures based on semiconductor spin quantum bits (qubits) to make the vision of a universal quantum computer reality. For scaling up the number
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dynamics of energy materials on the atomic and mesoscopic scale using neutron methods, complementary X-ray experiments and support of further techniques including computer simulations Synthesis and
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Your Job: Performing scanning electron microscopy and ion beam-based methods of sample preparation and characterization Technical support in planning, installation, calibration, maintaining and
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, programming, electronic lab journals, machine learning Intrinsic motivation to show initiative, creativity, and to work independently Excellent cooperation and communication skills and ability to work as part