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Field
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grounded interpretation. Working closely with researchers in natural language processing and literary studies, the candidate is expected to: construct datasets and benchmarks linking literary passages
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Job Description Are you interested in developing event-driven, energy-efficient methods for processing real-world acoustic signals, grounded in the physics of sound and the computational principles
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(Python) and deep learning frameworks (PyTorch) with a drive to enhance these skills. Familiarity with one of the AI/ML fields like Natural Language Processing, Computer Vision, Reinforcement Learning
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assistant professor or associate professor whose research advances parallel and high-performance computing. Relevant areas include computer architecture, operating systems, compilers and the
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project. The alliance partner is Chalmers University of Technology, Electrical Engineering, Signal Processing and Biomedical Engineering Division. Responsibilities and qualifications Do you have a
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) and the Martinos Center for Biomedical Imaging (Harvard/ MIT /Mass General). In parallel, there will be opportunities to analyze and publish existing data upon identifying areas of mutual interest
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National Aeronautics and Space Administration (NASA) | Pasadena, California | United States | about 1 month ago
constraints • Familiarity with the following tools: STAR-CCM+, COMSOL, or similar software. • Knowledge in SPARTA (Stochastic PArallel Rarefied-gas Time-accurate Analyzer) and DAC (DSMC Analysis Code
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, magneto-hydrodynamics (MHD), micro-electro mechanical systems (MEMS), material design, molecular dynamics, power grid, sensor data fusion, shock physics, signal processing, subsurface flow and
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of 1 year to start with. Following a positive evaluation, the scholarship will be renewed for an additional 3 years. In parallel, the applicant will be expected to actively seek independent funding
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organisms. Please note that we have a parallel search for computational neuroscientist faculty members at https://apply.interfolio.com/190740 . The successful candidates will be embedded in a richly