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Field
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engineered for science and research applications (i.e. Slurm, Globus, ESNET Science DMZ, and parallel file systems). Maintains a working knowledge of industry best practices, solution methodologies, and
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advanced genome-editing tools. In parallel, we develop in-house sequencing technologies to dissect epigenetic and epitranscriptomic modifications at the molecular level, along with high-throughput platforms
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Master of Science in Athletic Training and the Bachelor of Science in Allied Health Sciences programs through teaching courses in both programs, serving as a clinical preceptor, and providing athletic
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to run on parallel environments. CUDA and Fortran programming expertise. Experience with HPC job schedulers, especially job submission is required. Slurm scheduler experience. Experience and understanding
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Programme? Not funded by a EU programme Is the Job related to staff position within a Research Infrastructure? No Offer Description This position is open to candidates aiming to pursue a research and academic
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& Responsibilities: Implements: Algorithms and computer software for analyzing omics-based data sets [high-throughput, massively parallel genomic/proteomic/clinical]; Data management and analysis solutions that aid in
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efficiently. Parallel computing, including algorithms and data structures, compilers, operating and runtime systems, software, programming methods, applications, and architectural support, will continue to be
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and innovation strategy that positions the RMH as a national and international leader. This role oversees a diverse, high‑performing research ecosystem, including laboratory and clinical programs
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as a dynamic department offering academic programs in the clinical, biomedical, and pre-health sciences at both the undergraduate and graduate levels. The Continuing Track (CT) is UD’s full-time
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. Programming experience in C/C++ is necessary while experience in parallel and GPU computing is most desired.PX4, Pixhawk or equivalent. Ability to work well with team members and good communication skills