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Field
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experience and plans lie at the forefront of areas such as quantum computing, quantum algorithms, quantum simulations, and quantum error correction. Predominant research activities of the selected candidate
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progress in machine learning and artificial intelligence, the successful candidate will have primary responsibility to develop, implement, and test multimodal machine learning algorithms to analyze and
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Multiple Faculty Positions - Computational Biomedical Science, Center for Computational Life Science
Multiple Faculty Positions (Assistant, Associate, Full Staff) - Computational Biomedical Science, Center for Computational Life Sciences Cleveland Clinic The Center for Computational Life Sciences
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powerful framework for decentralised machine learning. FL enables multiple entities to collaboratively train a global machine learning model without sharing their private data, thus enhancing privacy
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excellent place for networking in tech and outdoor activities. Responsibilities Research and development: Conduct research to design, implement, and refine deep learning algorithms, particularly focusing
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science, and brain-inspired computation, encompassing a wide range of specialties such as algorithmic approaches, hardware innovations, artificial intelligence, deep learning, and the software foundations
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Cornell faculty members 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
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applications for multiple 9-month, full-time faculty positions at the rank of assistant professor (tenure-earning) or associate professor (tenured) to conduct research, development, and teaching with
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, prediction, and decision support and automation. Additional duties include but are not limited to: Developing and refining algorithms and workflows for crop monitoring, modeling, prediction, and decision
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skills to bear as you develop new methods to address scientific and engineering problems, collaborate with leaders in your field and across the laboratory, while working with the world’s fastest computers