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Field
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the cost by fitting an AI system with 100's to 1000's of AI accelerators within a single server. You will lead the development of the overall distributed system solution, ranging from orchestration and
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. Qualifications requirements The applicant is required to have a PhD degree in Computer Science, Software Engineering, or related fields. The applicant must have completed the degree no more than three years before
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The Center for Nanoscale Materials (CNM) at Argonne National Laboratory is seeking postdoctoral researchers to work on distributed quantum computing. The project aims to develop superconducting
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Max Planck Institute for Plasma Physics (Greifswald), Greifswald | Greifswald, Mecklenburg Vorpommern | Germany | about 2 months ago
injector is available to investigate the pellet injection and sub-sequent particle distribution within a fusion relevant plasma. The observation of pellet ablation and plasma transport with appropriate
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AI and accelerating the development of Embedded AI systems and applications. The ANT doctoral candidates will design high performance distributed Embedded AI algorithms and systems under stringent
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on how to dynamically distribute computing resources to suitable nearby computing resources without compromising confidentiality and/or integrity. The project is working on developing several core
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September 2025. The position requires a PhD in History and demonstrated commitment to undergraduate teaching. The successful candidate will teach a total of three courses per year, distributed over three
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As a flagship research center in nanoscience and nanotechnology, our mission is to open and explore new frontiers of knowledge at the nanoscale, and bring value to society in the form of new
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the vertical flux of organic matter in different oceanic regions. This will include the use of in situ camera systems, sediment traps, and bio-optical platforms to quantify particle abundance, size distribution
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. Digital Energy leverages cutting-edge digital technologies, including data analytics, artificial intelligence (AI), and distributed ledger technology, to enhance the planning and operation of energy systems