440 algorithm-development-"Multiple"-"University-of-California,-Santa-Cruz" positions
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, developing novel algorithms for pattern detection, extreme event attribution, and seasonal forecasting. Lead development of innovative visualization techniques and interpretable machine learning methods (30
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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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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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) at the University at Buffalo (UB) invites candidates to apply for multiple positions as Assistant Professor, Associate Professor, or Full Professor. The new AIS department was created with the goal of creating AI
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) at the University at Buffalo (UB) invites candidates to apply for multiple positions as Assistant Professor, Associate Professor, or Full Professor. The new AIS department was created with the goal of creating AI
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and the project's co-principal investigators (from multiple organizations) to oversee a cross-organizational research team consisting of a group of postdoctoral associates, PhD students, and several
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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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Summary Post-Doctoral Positions Atomic Physics/Quantum Information Indiana University, Bloomington Multiple post-doctoral positions are available in the Trapped Ion Quantum Information group at Indiana
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quality control, machine learning, computer vision, systems/entity identification and recognition, and algorithm development. Demonstrated experience in leading RDT&E teams. Preferred Qualifications
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submission to journals and conferences. Present research findings at seminars, conferences, and scientific venues. Develop innovative and robust machine learning algorithms to personalize interventions