264 algorithm-"Multiple"-"U"-"Simons-Foundation"-"Prof"-"UNIVERSITY-OF-SOUTHAMPTON" positions in United States
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Field
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to achieve the following objectives: 1. Characterize 3-D Urban Structure and Change: Utilize data from multiple remote-sensing platforms and deep learning algorithms to generate high-resolution maps of 3-D
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, 2023 and 2024 QS World University Rankings, and 51st, 42nd and 56th in the 2022, 2023 and 2024 US News Rankings, respectively. The Department invites applications for multiple non-substantive-track
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architectures and training algorithms, uncertainty quantification, high-dimensional stochastic systems and high-dimensional partial differential equation systems. Multiple positions available. About the T-5 Group
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to educational excellence and developing and sustaining premier research programs with national and international recognition. The Department invites applications for multiple non-tenure track positions as an
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require expertise in both database design and complex statistical methods and algorithms. Expected projects will include design of research and operational databases and statistical analyses, and
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methods development, novel algorithm development and/or in-depth data analysis that facilitates and integrates implementation, visualization, and database management of multi-dimensional clinical and
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-disciplinary scientists who can use multiple tools and approaches with a desire to advance science at the intersection of management, genetics, and the environment. Research impacts should include improved
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scientists who can use multiple tools and approaches with a desire to advance science at the intersection of management, genetics, and the environment. Research impacts should include improved decision making
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be to develop high fidelity simulations and/or algorithms to enable Bragg coherent diDraction imaging. We expect x-ray ptychography and coded aperture methods to play a fundamental role in creating a
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, aggregating them across multiple, pluralistic values if necessary, and fine-tuning models to satisfy those preferences. In the Normativity Lab we believe these approaches are likely to prove too limited