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quoting reference number 8109. Perrett Laver will conduct an executive search process in parallel with the public advertisement of the role. The UNSW Selection Panel will meet to decide upon a final
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management, cache optimization, and vectorization techniques. Strong understanding of algorithms and data structures, especially those suitable for parallel processing and distributed computing. Understanding
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of programs for analysing genetic data via parallel programming. Manage, debug and improve code. About you Degree qualification in Computer Science or related discipline. Proven ability in C/C++, Python
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within a multi-disciplinary research environment consisting of computational scientists, applied mathematicians, and computer scientists to link models and algorithms with high-performance computing
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Inria, the French national research institute for the digital sciences | Saint Martin, Midi Pyrenees | France | about 22 hours ago
, embeddings with transformers, training with flow matching) and high performance computing (e.g. handling large-scale parallel simulators, multi-node and GPU training on large supercomputers). When considering
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activation processes catalyzed by transition metals. In parallel, we work on the design and synthesis of bifunctional compounds for selective catalytic reactions. In particular, we are interested in
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Massachusetts Institute of Technology (MIT) | Cambridge, Massachusetts | United States | 19 days ago
developing computational infrastructure, designing machine learning segmentation and classification pipelines, creating visualization and UI tools, processing, storing, and disseminating large datasets, and
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on a rotating basis & some extended hours as need Job Summary: The Buyer I supports the formal competitive bid process, development of contracts, service agreements, leases and other written legal
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and optimization strategies for large-scale or streaming data. Develop parallelized and GPU-accelerated learning modules, ensuring scalability and performance efficiency. Build and maintain robust data
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, and parallel computing, with a proven ability to work within highly secure and regulated environments. This role involves close collaboration with security teams, scientists, and IT leadership to ensure