264 algorithm-"Multiple"-"Prof"-"U"-"Simons-Foundation"-"University-of-Wisconsin-Madison" positions in United States
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Field
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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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position to develop and apply advanced analysis methods, including artificial intelligence and machine learning algorithms and approaches, for x-ray science and instruments. These methods will accelerate
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logical thinking, intellectual curiosity, as well as strong problem solving, analytical and organizational skills and the proven ability to adapt to shifting priorities and manage multiple projects in a
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organizational skills and the proven ability to adapt to shifting priorities and manage multiple projects in a fast-paced, deadline-driven environment. Demonstrated project management and problem-solving skills
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foundations and applications of large language models (LLMs) or the development of novel AI algorithms utilizing the latest technologies for applications in science and technology. The successful candidate will
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of experience in AI/ML/DL or equivalent combination of education and experience. Demonstrated experience in algorithm development and structured programming ability. Experience in scientific programming and the
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relationships through active participation in professional societies. Ability to function well in a fast-paced research environment, set priorities to accomplish multiple tasks within deadlines, and adapt to ever
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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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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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their research, and several of the university’s research institutes are located across multiple campuses. The Academic Plan envisions that all members of the Northeastern community will have a “passport” to the