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orchestration, and high-throughput data processing, as well as experience working with large biological datasets in GPU-based computing environments. What we provide: A competitive compensation package, with
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have access to state-of-the-art facilities and major cyberinfrastructure investments, including the Advanced Research Computing Center (ARCC), the NCAR-Wyoming Supercomputing Center (NWSC), GPU computing
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will design, implement, and validate novel algorithms, and benchmark them against state-of-the-art reconstruction pipelines. Strong programming skills (e.g., Python/C++ and GPU-based computing) and
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learning, multicore and GPU programming, and highly parallel systems. Good knowledge in one or more of the following programming languages/environments: C/C++, Python, PyTorch (or similar), and Cuda. Place
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resources, including the Texas Advanced Computing Center (TACC) , and multiple HPCs on campus , including some GPU-heavy clusters. University of Texas at Arlington Research Institute (UTARI) Center
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for candidates with experience in ML model deployment, workflow orchestration, and high-throughput data processing, as well as experience working with large biological datasets in scalable GPU-based computing
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datasets in scalable GPU-based computing environments. What we provide: A competitive compensation package, with comprehensive health and welfare benefits. A supportive team environment that promotes
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advanced C++ development, including multi-threading, CMake, and Eigen Familiarity with GPU-based computing concepts such as CUDA Understanding of industrial communication protocols such as Ethernet, USB
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environments Experience with parallel computing environments, HPC in a Linux environment Experience with surrogate modeling Experience with data analytics techniques Familiarity with C++ and GPU programming
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environments Experience with parallel computing environments, HPC in a Linux environment Experience with surrogate modeling Experience with data analytics techniques Familiarity with C++ and GPU programming