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computing (HPC), autonomous software infrastructures, and AI-enabled engineering systems. RESEARCH AREAS Area 1 — AI for Programming Systems Research topics include AI-assisted compilation and
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parallel. 3. Real-Time Integration, Benchmarking, and Demonstration Implement and validate the reflex/habitual stack on the team's primary hardware (industrial robot arm, with stretch goals on quadruped and
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Inria, the French national research institute for the digital sciences | Villeneuve, Queensland | Australia | 18 days ago
algorithms . Incorporate partition crossover and related tunneling mechanisms into specialized evolutionary and local-search algorithms, especially by exploiting parallel and high-performance computing
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management of HPC systems within a classified environment. We are looking for candidates with experience in HPC architecture, cluster management, and parallel computing, with a proven ability to work
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progress / issues clearly. You are proactive and can manage working in parallel projects if need be. You have experience with one or more programming languages commonly used in Human-Robot
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trainee’s curriculum will include gaining independence in developing neuroinformatics workflows and programming to support neuroscientific analyses, clinical research design, fMRI pipeline development
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Functional logic programming Property-based testing Interactive theorem proving (such as Agda, Lean, or Rocq) Domain-specific languages (for example, for hardware design or parallel programming) Array or
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management of High-Performance Computing (HPC) systems within a classified environment. We are looking for candidates with experience in HPC architecture, cluster management, and parallel computing
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Biological & Life Sciences Division – Postdoc Researcher: AI for Precision Medicine and Therapeutics
, statistics, machine learning, programming in C, C++, Python Scripting languages and MATLAB, using a parallel computing environment Bioinformatics, network biology, network medicine, network analytics, AI, ML
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: Algorithms, data analysis, graph, network, and complexity theory Scientific computing, statistics, machine learning, programming in C, C++, Python Scripting languages and MATLAB, using a parallel computing