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-stakeholder research programs, portfolios, and projects supported by federal grants, philanthropic funding, and corporate-sponsored research agreements. Alongside scientific leadership (i.e., the PIs
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, networking and mobile computing, parallel and high-performance computing, software engineering, types and programming languages, and web technologies. The Department currently has ten full-time faculty, four
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systems. Expertise with batch schedulers (SLURM, PBS, LSF) and parallel file systems (Lustre, GPFS/Spectrum Scale). Proven ability to lead technical projects from concept through implementation, balancing
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-scale scientific data. Publishing research in leading peer-reviewed journals and conferences. Researching and developing parallel/scalable uncertainty visualization algorithms using HPC resources
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Demonstrated research experience with HPC, AI/ML and/or distributed systems techniques. Proficiency in programming languages such as Python, C++, or similar, as well as experience with HPC environments and
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journals and conferences. Researching and developing parallel/scalable uncertainty visualization algorithms using HPC resources. Collaboration with domain scientists for demonstration and validation
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phase of growth of its ambulatory and inpatient services, creating additional, excellent opportunities to build upon and substantially expand our Thoracic programs. Notably, the organization’s strategic
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-up Partner with CIT Career Services to coordinate targeted corporate visits, industry networking events, and internship pipelines. Plan and implement relevant CIT INSPIRE industry events (presentation
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good understanding of the physics of scattering and antenna radiation Programming experience in C/C++ is necessary while experience in parallel and GPU computing is most desired More Information Location
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). Expertise in data and model parallelisms for distributed training on large GPU-based machines is essential. Candidates with experience using diffusion-based or other generative AI methods as