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formula is true or false (EXPTIME vs NP). Can we develop and implement efficient algorithms for this problem? This problem has been attacked using multiple different methods for the past 40 years, without
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, care deeply, and believe in being the difference in their work and community. We prioritize student success, access to education, and service in our work to educate well-rounded servant leaders who
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contributors to UC?s success. Job Overview The Department of Computer Science is dedicated to educational excellence and developing and sustaining premier research programs with national and international
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fostering an environment where staff and faculty are key contributors to UC’s success. Job Overview The Department of Computer Science is dedicated to educational excellence and developing and sustaining
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development and success of our computer science program. The successful candidate must reside in Washington State by the start of the position and demonstrate a strong commitment to teaching in person
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novel algorithms for pattern detection, extreme event attribution, and seasonal forecasting. Lead development of innovative visualization techniques and interpretable machine learning methods (30%). Drive
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science, including supervising team members, developing novel algorithms for pattern detection, extreme event attribution, and seasonal forecasting. Lead development of innovative visualization techniques
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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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intelligence is preferred in candidates applying for this position. Responsibilities Design, develop, test, and debug complex software programs. Implement and optimize algorithms (ML + AI) for data-intensive
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Simon Fraser University | Northern British Columbia Fort Nelson, British Columbia | Canada | 2 months ago
at all levels—developing new materials, designing creative and interactive technologies, engineering future hardware platforms like quantum computers, and writing the algorithms that power machine learning