85 parallel-and-distributed-computing-"Meta"-"Meta" positions at Forschungszentrum Jülich in Germany
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Your Job: Join our team to manage computing time resources and projects. Your tasks include: Coordination of calls for allocation processes and computing time budgets with our European partners
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part of an international and interdisciplinary working environment with access to outstanding computing facilities and connections to the best research institutions around the world Opportunity
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Your Job: Agile development, maintenance, coordination, testing, distribution and deployment of the open-source, community-driven Elephant neural data analysis software - https://python-elephant.org
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, computational physics, statistical physics, non-equilibrium quantum many-body physics Ideally, experience with neural quantum states or other applications of machine learning methods in many-body physics
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Identify new applications for Machine Learning in science, engineering, and technology Develop, implement and refine ML techniques Implement parallel ML training on the High Performance Computers Engage in
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`s degree and PhD in quantum physics, computer science, electrical engineering, mathematics or a related field Experience in quantum computer programming Experience in applying numerical methods and
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on these considerations, solutions will be developed and implemented to create an advanced testing platform for the comprehensive evaluation of the long-term stability of invasive brain-computer interfaces. Your task will
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Identify new applications for Machine Learning in science, engineering, and technology Develop, implement and refine ML techniques Implement parallel ML training on the High Performance Computers Engage in
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. You will employ the trypanosome model established in our group to study its swimming behavior in soft tissue-like surroundings. This project is a part of the DFG-SPP 2332 priority program “Physics
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equipment Opportunity to work in the highly interdisciplinary and exciting field of neuromorphic and brain-inspired computing, collaborating with physicists, neuroscientists, materials scientists, and