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CRC2 & Mitchell Funded Tenure-Track Faculty Positions in Supercomtuping and High-Performance Computi
Queen's University - Electrical and Computer Engineering, Smith Engineering | Kingston Downtown, Ontario | Canada | about 13 hours agoshared memory node parallel programming models (e.g. OpenMP, CUDA/HIP, Kokkos, etc.) o the composition of communication libraries and node parallel programming (e.g. MPI+X). o I/O communication
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students gain access to UM-wide programmes instead of a parallel, smaller version of them; to draw on CEI's expertise in entrepreneurship pedagogy, venture coaching and valorisation when designing your
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substantially in the past 15 years, from 40 to 120 faculty in parallel with the remarkable growth of our hospital-based affiliates as well as the city and county of Denver. Our work is value driven and focused
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), manufacturing pathway management, known-good-die test strategy, and the UK and global supply chain for heterogeneous integration. We are advertising two paired CTO Office posts in parallel: this post in
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CHIMES² is building as its core knowledge infrastructure. We are advertising two paired CTO Office posts in parallel: in Systems Architecture and Design (the logical layer) and a companion post in
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in Swedish, within four years. The department uses Swedish and English in parallel. The senior lecturer should be able to perform the majority of their tasks in English. However, as a public authority
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for parallel clinical duties (0.5-0.6 FTE) will be facilitated. Further information on our great benefits package, including 44 days annual leave inclusive of Bank Holidays and additional University Customary
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conducting two parallel faculty searches in biomedical engineering education. This Teaching Professor position is intended for educators who will provide leadership in undergraduate education through
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, evaluation, RLVR, PEFT, quantisation, tensor/data parallelism. Ideally, the candidate should have familiarity with CUDA kernels and/or Triton, and inference engines (vLLM, SGLang, et cetera). Experience coding
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clusters, GPU-enabled systems, job schedulers (e.g., Slurm), and parallel computing workflows supporting simulations, bioinformatics, machine learning, or large-scale data analysis Experience managing