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performance. The salary is commensurate with experience. Applications are invited from individuals who are interested in applying experimental psychology and Bayesian computational modeling to understanding
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Job Description This position offers a unique opportunity to work on advanced projects at the intersection of AI, machine learning, computer vision, and multimodal learning, focusing on advancing
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on funding and successful performance. Typical hiring range for this soft-money funded position is $45,000 to $48,000 commensurate with qualifications and experience. Complete Job Description About the
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analysis is a plus. Programming skills in R, Python, SAS, Perl, BASH or similar a plus. Experience working in a Linux environment preferred. Experience working in high-performance computing environments
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of scientists and High-Performance Computing (HPC) engineers. In the AL/ML group, we work at the forefront of HPC to push scientific boundaries, carrying out research and development in state
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Astronomy is home to internationally leading research in applied physics, astronomy, atomic physics, quantum optics, condensed matter physics, high energy physics, nuclear physics, and related areas. We offer
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: Ph.D. in Astronomy, Astrophysics, Physics, or Computer Science Preferred Qualifications: Experience radiative transfer calculations, machine learning, and high performance computing is desired. Special
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: 2023311 Carnegie Mellon University is a private, global research university that stands among the world's most renowned education institutions. With ground-breaking brain science, path-breaking performances
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a cluster hire across two research areas: (1) Environmental Social Science, Education and Communication/Meaning-Making and (2) Environmental Data Science and Spatial Computing. This job listing is for
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offers a unique opportunity to collaborate with industry partners, publish high-impact research, and help translate cutting-edge materials science into practical, scalable packaging innovations