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Field
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PhD Position in Theoretical Machine Learning – Understanding Transformers through Information Theory
performance in core mathematics and machine learning courses Master’s degree (or near completion) corresponding to at least 240 higher education credits in mathematics, computer science, electrical engineering
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internationally. • Participate in the Faculty of Science PhD training program. • Participate in the department’s educational programs, assisting in teaching and supervision of undergraduate or Master students
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, for the CSIRO Next Generation Emerging Technology Graduate Program for Empowering Humans within the Metaverse. The PhD will be of 3.5 years duration, with a tax-free scholarship of $43,333 per annum, with annual
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medical biology educational programme for which you will assist in one or two courses per year and supervise BSc and MSc students within the context of your project. Would you like to learn more about what
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of €25,000 per year for up to four years. The candidate will be supervised by Dr. Nessa Lynch, Matheson Lecturer in Law, Innovation and Technology with co-supervision from the Department of Business
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application! We are looking for a PhD student in Computer Science formally based at the Department of Computer and Information Science (IDA) as part of the national research program WASP. Wallenberg AI
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of computer science, software systems engineering, digital technologies or comparable qualification Openness to varied and exciting topics and tasks in the field of digitized circular economy Independent, structured
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of computer science, software systems engineering, digital technologies or comparable qualification Openness to varied and exciting topics and tasks in the field of digitized circular economy Independent, structured
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and Social Sciences, which is comprised of five departments. The department currently has approximately 65 permanent employees and a number of part-time lecturers. We work to ensure high quality and
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-performance computing facilities. We are a lively department that hosts an active early career community (PhD candidates, researchers and lecturers). We organise a warm welcome for every new member. The