2,288 Computer-Science-"https:"-"https:"-"https:"-"https:"-"https:"-"U.S" Fellowship positions
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required for enzyme production and engineering, synthesis of substrates and product standards, high throughput screening of enzyme libraries, and application of computational protein design tools. Careful
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21 Jul 2026 Job Information Organisation/Company SINGAPORE INSTITUTE OF TECHNOLOGY (SIT) Research Field Computer science Engineering Engineering Researcher Profile Recognised Researcher (R2) First
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birth, only 28%* of researchers are women and only 3% of Scientific Nobel Prizes are awarded to them. That is why, for the past 19 years, the L’Oréal-UNESCO For Women in Science Programme has worked
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the links below: https://www.birmingham.ac.uk/about/college-of-medicine-and-health Department of Applied Health Sciences - University of Birmingham Role Summary Initiate and conduct original research which
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of Medicine and Health our Department by visiting the links below: https://www.birmingham.ac.uk/about/college-of-medicine-and-health Department of Applied Health Sciences - University of Birmingham Role Summary
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education, Psychology, Data Science, Computer Science, Social Sciences, or a related field. Responsibilities: Assist in the design and implementation of research projects related to AI in education and data
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of Electronics and Computer Science (ECS) (http://ecs.soton.ac.uk ). Ranked in the top 1% of universities globally and among the UK's top 20 for research, the University of Southampton has an international
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AUSTRALIAN NATIONAL UNIVERSITY (ANU) | Canberra, Australian Capital Territory | Australia | 3 months ago
of Engineering. Key responsibilities include the design and implementation of novel AI-driven goal-oriented semantic communication strategies, signal processing algorithms, performance optimization methods, and
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King’s College Cambridge invites applications for two Research Fellowships from scholars in the arts, humanities and social sciences who – whatever their current or previous research – are intrigued
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The Data Sciences Institute (DSI) is a central hub and incubator for data science research, training, and partnerships at the University of Toronto. Its goal is to accelerate the impact of data