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of their time close to live markets. You’ll have access to Susquehanna’s extensive proprietary datasets and large-scale computing infrastructure—including a rapidly growing cluster of thousands of
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HPC concepts, including parallel computing, distributed systems, and optimization. Analytical skills, problem-solving abilities, and a growth mindset. Additional Qualifications Applicants should be
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, develop quantitative models, and evaluate ideas through rigorous empirical analysis and backtesting. Susquehanna’s extensive proprietary datasets and large-scale computing infrastructure—including a
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Job Description Do you want to contribute to the green energy transition? Are you excited about developing intelligent power electronic converters and drives with AI and edge computing technologies
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fully determine the torsional response using conventional methods alone. Unknown external forces and torsional response can instead be estimated using methods such as convex optimization or Kalman
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scientific numerical codes, compilers, code optimization, file input/output strategies, and data management. Experience using data analysis and machine learning libraries. Excellent knowledge of computing
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We invite applications for two Doctoral positions in experimental quantum computing with superconducting circuits. You will work in the stimulating research environment of the Wallenberg Centre for
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mathematics and scientific computing? Are you passionate about impacting problems of national importance? If so, envision the opportunities as Sandia's next John von Neumann Postdoctoral Fellow. We
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optimization of machine learning methods. Candidate’s profile An ideal candidate would typically have: a strong degree or higher qualification in a relevant field (e.g. computer science, mathematics
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overarching topics at Fraunhofer ITWM are machine learning, artificial intelligence, renewable energies, and sustainability. In addition, next-generation computing and quantum computing are future-oriented