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KTP Associate in Machine Learning ( Job Number: 25000811) Department of Computer Science Grade 7: - £39,105 - £43,878 per annum Fixed Term - Full Time Contract Duration: 30 months Contracted Hours
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machine learning or AI methods in healthcare research, particularly within digital trials or real-world data studies. Expertise in analysing complex digital health data, including wearable sensor data
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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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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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develop and apply machine learning techniques to accelerate simulations and extract insights from complex model outputs. A PhD in (or equivalent experience) in Biomedical Engineering, Computer Science, Data
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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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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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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 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