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Digital Citizens, and Robotics and AI which align with the EPSRC Discovery priority of ‘Digital Futures’, and the Mission-Inspired priorities of ‘engineering net zero’, and ‘artificial intelligence
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the information webinar, please visit: https://www.rca.ac.uk/study/apply-to-study/funding-your-studies/funding-for-mphil-and-phd-students/doctoral-landscape-sch-net-zero-futures/ Fair Access and Widening
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hold an MSc in Earth science, environmental science, data science, physics, mathematics or computer science, with practical machine learning/artificial intelligence courses and relevant project and
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learn to apply these processes judiciously while maintaining a focus on originality and professional integrity. Candidates should have a relevant Master’s and/or PhD in Digital Arts, Computational Media
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Send your CV along with a motivation letter to chloe.lehoucq@pasteur.fr with benjamin.devauchelle@pasteur.fr in Cc. The candidate should have a PhD in Neuroscience or Cognitive science and the
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a PhD in computer science, information science, bioinformatics, biostatistics, mathematics, nutrition, epidemiology, biomedical engineering, medicine, or a related science field. Candidates should
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applicants in the areas of Artificial Intelligence (including Generative AI & LLM, Machine Learning, Natural Language Processing, Computer Vision, and Knowledge Engineering), Data Mining and Analytics
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LLM Agents: Foundations, Attacks, and Defenses”. Your work assignments Large language model (LLM) agents represent the next generation of artificial intelligence (AI) sys- tems, integrating LLMs with
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to a dynamic, outward-facing programme team. Essential criteria 1. PhD in computer science, artificial intelligence or related field 2. Ability to teach at FHEQ level 7 (Master’s level) across
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-personnel-programs/_files/apm/apm-220.pdf Department: https://datascience.ucsd.edu/ School: https://scids.ucsd.edu/ Qualifications Basic qualifications (required at time of application) PhD or equivalent