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computing needs, including GPU-enabled workstations, specialized software, reproducibility, performance, and secure remote access. Ability to diagnose issues across operating systems, drivers, remote desktop
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conduct world-class applied research. We change and make a difference. Do you want to become one of us? TheDepartment of Computer Science (DIDA) is one of two departments in the Faculty of Computing. It is
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DeepMD, NEXMD, i-PI, MixPI, NWChem, CP2K, or comparable packages. Experience with GPU acceleration, distributed training, high-performance computing systems, or C/C++ scientific software development
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Faculty.Instructor.Adjunct Electrical and Computer Engineering - Pennsylvania-Pittsburgh - (26005016) Qualifications: Ph.D. in Electrical Engineering with expertise in electrical power systems ECE
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Faculty.Instructor.Adjunct Electrical and Computer Engineering - Pennsylvania-Pittsburgh - (26005055) Qualifications: Ph.D. in Electrical Engineering with expertise in electrical power systems ECE
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, or population genetics Deep learning for sequence, EHR, or imaging data High-performance and GPU computing environments Excellent candidates from adjacent quantitative fields are encouraged to apply. The Research
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are looking to fill a position as Scientific Programmer (m/f/d) High-Performance Computing and Software Engineering The department investigates the dynamics of the ocean carbon cycle, its variability and
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the thermal process from GPU computation to radiative cooling Integrate the algorithms into a larger computational satellite simulation environment Identify new cyber-physical systems research topics related
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to gather requirements, manage expectations, and balance competing priorities. Experience supporting high-performance or GPU-enabled scientific computing environments, including NVIDIA/CUDA, performance
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architecture of entirely new foundation models, directly advancing the frontier of computational biology and machine learning. You will also implement parallel systems capable of training such models across