212 algorithm-development-"Multiple"-"Prof"-"Prof"-"Newcastle-University"-"U.S" positions in United States
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Software testing Algorithm development Advanced programming topics (graphics, AI, compiler, parallel programming) Web development Educational Requirements: Master's degree in computer science or relevant
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Baltimore, MD, or Washington, DC , to investigate the foundations of human normativity and how these insights can inform the development of AI systems aligned with human values. The ideal candidate will have
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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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research in computational biology, single-cell ‘omics-based and multimodal machine learning (ML), and, for the candidate with appropriate skills, quantum computing algorithms and software for applications in
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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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-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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needed under the direction of the Transitional Care Coordinator. Under the direction and supervision of Transitional Care Coordinator, utilizes multiple referral platforms such as Enso care, e-fax and
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coordinating the development of complex scientific figures and infographics Demonstrated ability to plan, coordinate, and prioritize activities across a team or multiple teams to deliver content on time and with
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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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, developing novel algorithms for pattern detection, extreme event attribution, and seasonal forecasting. Lead development of innovative visualization techniques and interpretable machine learning methods (30