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Field
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Shifting bits: Adaptive numerical precision for GPU software in particle physics and beyond (S3.5-COM-Richmond) School of Computer Science PhD Research Project Competition Funded Students Worldwide
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cell types. Optimize 3D CAD designs for precision and parallel measurements. Evaluate the feasibility of integrating the probe system onto a robotic end-effector and design suitable mechanical and
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expertise in high-performance computing (HPC), parallel computing frameworks (such as MPI, OpenMP) and GPU acceleration. Proven experience administering, configuring, and optimising HPC clusters and GPU
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the creation of analytical reports to achieve client, program, and business objectives for resource optimization. Work closely with internal technology teams and vendors to deliver tools and system solutions
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reporting, feedback loops) Educational Initiatives & Project Management Lead or co-lead initiatives in curriculum development, assessment, and program evaluation Serve as project manager for cross-functional
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and manage comprehensive testing plans across all Epic modules (clinical, administrative, patient-facing, and research). Lead unit, integrated, regression, user acceptance (UAT), and parallel testing
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willingness to learn: High-performance computing (distributed systems, profiling, performance optimization), Training large AI models (PyTorch/JAX/TensorFlow, parallelization, mixed precision), Data analysis
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cultivation of the beneficial microbes of the human microbiome. This work involves the use of parallel plating in microtiter wells of combinations of nutrients and bacterial cells, using multiplate readers
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parallel, forward genetics will be used to identify novel regulators of the fungal cell wall, and mutants will be studied with the methods above to find potential antimicrobial targets. We will provide
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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