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Field
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images. However, the current limitations of desktop computers in terms of memory, disk storage and computational power, and the lack of image processing algorithms for advanced parallel and distributed
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School/College/Programs. Uses performance marketing data and available research to create program-specific and college-wide strategic and targeted recruitment and outreach plans that parallel
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plasmid sequencing results to verify correct assembly Project coordination and workflow management - Coordinate cloning priorities across multiple lab projects - Plan experimental workflows to optimize
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computing concepts, including parallelization, memory management, and performance optimization. Familiarity with heterogeneous computing technologies (e.g., GPUs, accelerators) and related frameworks (e.g
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science, or related fields. At least four years of relevant postdoctoral research experience. Desired skills/knowledge: Knowledge of high-performance computing concepts, including parallelization, memory management
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to manage multiple projects in parallel. Ability to analyze and interpret statistical data and to communicate data in a clear, concise manner. Computer literacy, including the ability to use a variety of
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computing concepts, including parallelization, memory management, and performance optimization. Familiarity with heterogeneous computing technologies (e.g., GPUs, accelerators) and related frameworks (e.g
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of multiple actively funded global health projects. This position provides critical expertise in biostatistics, epidemiology, and data interpretation across studies focused on severe malaria, sickle cell
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Proven experience with multiple parallel programming paradigms, including but not limited to; MPI, OpenMP, and CUDA (Compute Unified Device Architecture) Experience in a batch HPC environment with a
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handling. Analytical, reasoning and problem-solving skills. Ability to work in an intense and deadline-focused environment. Ability to manage multiple projects in parallel. Ability to analyze and interpret