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Fellow in applied adversarial machine learning. This exciting opportunity will contribute to the D-XPERT (AI-Based Recommender System for Smart Energy Saving) project. The D-XPERT project represents a
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research assistant in applied adversarial machine learning. This exciting opportunity will contribute to the D-XPERT (AI-Based Recommender System for Smart Energy Saving) project. The D-XPERT project
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near completion) or equivalent professional experience in NLP or computer science. Applicants will need to have a good understanding of Natural Language Processing pipeline, Machine/Deep Learning, Python
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will be to develop generative machine learning models and signal processing algorithms for sound generation, given prompts from text and/or video. This work is built on the recent contributions of CVSSP
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devices, circuits and applications. The work builds on the ALPACA - A new low-complexity paradigm for analogue computation and hardware learning research project, awarded as a prestigious EPSRC Fellowship
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psychologists, homeless sector partners as well as trainees who respect and value one another, are advocates for lived experience, lifelong learning, and who embrace change. The profession of clinical
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. This project will be based in the School of Chemistry and Chemical Engineering, Faculty of Engineering and physical sciences. We are committed to achieving equality for all those who learn and work here and
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greener carbon sources. This will ultimately enable us to learn how to rationally design of strains for greener manufacturing and make this strategy broadly applicable to other industrial Streptomyces