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/264ffa19ca70e3ec41032fe6a4802932b5eda4e6.pdf https://ieeexplore.ieee.org/document/10068193 Job Specifications For PhD applicants: Excellent Master’s degree (or equivalent) in computer science, engineering, or related disciplines (typically
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SUSMAT-RC - Postdoc Position in Computer-Aided Design and Discovery of Sustainable Polymer Materials
candidate is expected to: Build and evaluate chemical databases based on experimental and computational data. Establish predictive models based on artificial intelligence methods. Utilize the developed models
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artificial intelligence. The position is anchored in the section Energy Technology and Computer Science, known for close collaboration with industry, educational institutions, and EU partners. Responsibilities
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Arab Emirates Application Deadline 27 Dec 2025 - 00:00 (UTC) Type of Contract Permanent Job Status Full-time Is the job funded through the EU Research Framework Programme? Not funded by a EU programme Is
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Vacancies Postdoctoral Researcher Organizing Human-Centric Industries Key takeaways Join our NWO-funded research program Smart Skills@Scale in a unique four-year, full-time (1.0 FTE) postdoctoral
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curious to deliver work that matters, your journey starts here! The Civil and Environmental Engineering Department at Carnegie Mellon offers a unique interdisciplinary program that enables you to develop
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computational semantics methods * Please note that this is a PhD level role but candidates who have submitted their thesis and are awaiting award of their PhDs will be considered. Should the successful candidate
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project lead Dr Janice Attard-Johnson and with co-lead Professor Sarah Bate to prepare materials, design and programme experiments, participant recruitment and data collection, develop and conduct
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of equitable and inclusive AI technologies in the Arab region. Applicants must have a PhD in Computer Engineering, Computer Science, Data Science, AI, HCI, or a closely related field, and a strong track record
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should possess a PhD in Computer Science or related area. We are looking for candidates who have publications in top conferences like NeurIPS, ICML, ICLR, CVPR, etc. A strong background in deep learning