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Field
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critical responsibilities. Key duties include microscopic FISH analysis, karyotyping analysis utilizing computer systems, FISH wet lab procedures, slide hybridization, PET slide preparation, and proficiency
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. The research focus of our group is on parallel computing, supercomputing, and performance tuning and optimization of advanced applications. Our team currently consists of 10 scientific and 3 administrative
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-edge Machine Learning applications on the Exascale computer JUPITER. Your work will include: Developing, implementing, and refining ML techniques suited for the largest scale Parallelizing model training
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frameworks to maintain secure and compliant environments. Document system architectures, processes, and best practices, and contribute to internal knowledge sharing. Participate in on-call rotations and off
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engineered 3D hydrogels, we will experimentally probe the mechanical forces and physical constraints that drive coordinated cell behavior. In parallel, we will develop and apply computational models and
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. In addition to the NIHR funded post available, locally funded posts may also be awarded in parallel, subject to funding and assessment against the stated criteria for the role. Applicants should be
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topics related to human visceral anatomy in parallel with the course curriculum. Undergraduate Course Assistants are expected to actively participate in group meetings, and to uphold the Anatomy Lab Code
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for scientific computing to support users in the process of solving increasingly complex compute- and data-intensive problems in science and engineering on high-end parallel and distributed computing platforms
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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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, parallel storage systems and scientific data management. Recent research project details and outcomes can be found in computer systems conference proceedings, such as HPCA, FAST, SC, DSN, HPDC, IPDPS, and