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| College Administration We are seeking a highly motivated postdoctoral researcher to join an interdisciplinary collaboration between Dr. Yuan Xue (Department of Biomedical Informatics) and Dr. Andréa
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Organisation Job description A postdoc position in computational social choice for AI Safety is available at the Bernoulli Institute for Mathematics, Computer Science and Artificial Intelligence
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extraordinary access to computing resources, trans-disciplinary international researchers across many disciplines within catalysis, materials and computer sciences, robotics, power electronics, and other academic
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candidate with a doctorate in computer science, mathematics, data science, or related field with relevant experience. A strong interest in clinical applications is essential. Candidates who expect to obtain
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continues to deliver high-quality, internationally recognised research through strategic academic and industry partnerships and competitive international collaborations. The school places a strong emphasis on
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Post-Doctoral Associate in Sand Hazards and Opportunities for Resilience, Energy, and Sustainability
questions, please email Dr. Rita Sousa at rita.sousa@nyu.edu . About NYUAD: NYU Abu Dhabi is a degree-granting research university with a fully integrated liberal arts and science undergraduate program in
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Details Posted: Unknown Location: Salary: Summary: Summary here. Details Posted: 20-Jun-25 Location: Pittsburgh, Pennsylvania Type: Full-time Categories: Staff/Administrative Internal Number
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, Computer Science or related fields (for PhD); Doctorate in Physics, Computer Science or related fields (for Post-Docs). The positions are funded via the Cluster of Excellence (Machine Learning for Science), the ERC
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project calls. Participate in scientific publication and dissemination of results to policymakers and communities. Required Qualifications: PhD in geomatics, data science, computer science, urban
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-Term Actions Division within the Climate Action, Sustainability and Science Department of the Directorate of Earth Observation Programmes. In the performance of your tasks, you will work in close