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safety, productivity analysis, quality control, project monitoring, prefabrication, modular construction, or infrastructure management. • Familiarity with GitHub, Docker, ROS, cloud computing, databases
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extended yearly. Position Requirements A recent PhD (within 5 years) in computational chemistry, chemistry, materials science, physics, computational science, computer science, engineering, or a related
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-second class degree in Engineering, Mathematics, Computer Science or Physics. 2. A PhD (or be close to submission) in any of the above fields, or equivalent professional experience in a similar field
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of tools and public goods. Requirements Applicants must have (or expect to have at time of appointment) a PhD in the social sciences, statistics, computer science, or related fields, and their interests must
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at scientific edge systems using large-scale HPC/AI computational and storage systems. Design and evaluation of ephemeral, user-configurable, and composable data and storage systems. Evaluation of cloud data
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computing and cloud-based infrastructure. A state-of-the-art UW Fiber Lab for DAS data and Pacific Northwest Seismic Network specialists in multi-sensor networks An working environment with a commitment to
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: The candidate must have a PhD and extensive experience in modern deep neural network-based techniques. The ideal candidate should have: A PhD and a strong record of research or applied work in deep learning, with
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biological plausibility, and raise the computational and virological capability of the group as a whole. The successful candidate will be teaching us as much as learning from us. Required: A PhD in