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Field
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interest include (but not limited to) Cybersecurity data science – with focus on (but not limited to) AI, machine learning and data analytics for cybersecurity risk management, threat modelling and data
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external). High level of computer literacy including familiarity with MS Office applications and some experience with content management systems (e.g., Contensis and/or WordPress) and learning management
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dissemination and grant writing. About you You will hold a PhD (or be close to completion) in a relevant field, in addition to experience of implementing or fine-tuning LLMs using machine learning libraries
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Machine Learning Approaches. You will have access to the excellent training opportunities at the University of Sheffield, and will spend time on site at Procter and Gamble. A range of highly desirable
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simulation techniques will be used to design proteins; a particular focus is binding flexible regions and antibody design, which are challenging for current machine learning approaches. You will become
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to teach a range of subjects, including: Pen-testing, Ethical hacking, Secure Programming (operating system security), Computer and Network Security, Cryptography, and IOT/CPS, both at undergraduate and
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machine learning and deep learning frameworks, development of API’s and dashboards alongside proficiency in programming skills, will stand you out from your peers. For all our roles we are searching
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Fusion21 Ltd are looking to recruit an individual with evidence of a strong grounding in Machine Learning and AI who will work alongside an MLOps Software Engineer (KTP Associate) to collaboratively deliver
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, electrical machines and drives, and supporting curriculum development in alignment with industry needs. Candidates are expected to demonstrate strong academic credentials and the ability to contribute to both
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who is also skilled in bioinformatics, image analysis, and machine learning. You’ll be part of a dynamic, supportive, and forward-thinking research environment committed to making real clinical impact