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. This position offers an exciting opportunity to work at the intersection of HPC and AI, addressing critical communication bottlenecks and optimizing network interconnects for large-scale distributed systems
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help! We have several fully-funded open PhD and Post-Doc positions (m/f/d, E13 TV-L) in our group - which just moved from the Max Planck Institute in Erlangen to the University of Tübingen, one
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interface between ESM and the latest version of SIESTA, its validation, its benchmarking, and its exploitation in scientific applications. Work will also involve the optimization of SIESTA on the fastest and
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the city we call home, UB is distinguished by a culture of resilient optimism, resourceful thinking and pragmatic dreaming that enables us to reach others every day. Visit our website to learn more about the
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related to a biomedical field. Preferred Qualifications: - Advanced degree (PhD) in biomedical sciences or related field(s) - Experience carrying out complex, long-term research projects. - Experience with
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design, optimization, and sizing using phenomenological and/or CFD methods. Energy system analysis. Strong analytical and problem-solving skills, with an ability to interpret and analyze simulation and/or
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signal processing algorithms on FPGA, optimized to significantly improve the resolution of real-time energy measurements made by the ATLAS Liquid Argon Calorimeter system. Use novel high-level synthesis
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We invite applications for a Postdoctoral Appointee to contribute to a growing research program in process systems modeling and optimization for clean energy, critical materials, and advanced
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) structures using high energy X-ray methods (scattering, spectroscopy, imaging) Design, optimization, and testing/benchmarking of reactors for operando studies Unravelling of relationships between catalyst
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profile, then don’t hesitate to apply. Responsibilities and qualifications Tasks and responsibility include optimization of safe microorganisms to produce selected essential amino acids genetic and