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to begin September 1, 2025. We will consider strong candidates in any research area but will prioritize Distributed and Parallel Computing. A PhD in computer science or a related area is required
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community through the GitHub platform. Profile Applicants should have a PhD in Computer Science, HPC, Electrical Engineering, or in a similar field. They should: possess a demonstrated expertise in parallel
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management of a state-of-the-art medical imaging research data center. The environment includes a robust multi-CPU/GPU architecture with virtual and physical servers, supporting advanced parallel computation
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maintenance of a viable research program. The candidate's research program should contribute to the areas of parallel scientific computing, with experience in several of the following areas: mesh generation
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well as travel to and present at those events where appropriate. Current projects include: parallel numerical optimization with a focus on GPU acceleration, efficient embedded edge computing and machine learning
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of computational platforms. We also want to improve the accessibility of STEM education. We therefore undertake research at the intersection of Robotics and Computer Architecture, Embedded Systems
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the forefront of RNA biology, utilizing massively parallel reporters to identify sequence and structural elements that regulate mRNA stability and translation. In this role, the candidate will leverage
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for the quality of its medical expertise, facilities and teaching. The Neuroscience and the Mental Health Program is one of the leading research programs in the medical school. The key objective is to conduct both
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regularly maintained for continuous integration. Optimize HPC Workflows: Collaborate with computational scientists to optimize parallel computing workflows and port research tools to high-end computing
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The School of Materials Science and Engineering (MSE) provides a vibrant and nurturing environment for staff and students to carry out inter-disciplinary research in key areas such as Computational