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science, or software engineering Proven experience with AI methods, including machine learning, data mining, and natural language processing Strong proficiency in Python programming Strong background in data management
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patients' homes, combined with an advanced data fusion and machine learning pipeline. This approach will measure changes in specific mobility-related behaviours over weeks and months, providing critical
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LLM Models and Artificial Intelligence systems. Candidates should have a Masters or PhD in Computer Science, Artificial Intelligence, Machine Learning, Software Engineering, Data Science, Statistics
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for Embedded Machine Learning Applications," funded by the NorthEast Launchpad Competition. We are seeking a candidate with a strong background in hardware design and the implementation of machine learning
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. We provide cutting edge, explainable, interpretable and verifiable machine learning and AI solutions for the next generation of autonomous systems. Our unique research and expertise of designing
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learning environments Qualifications Lecturer Grade F • Have or be close to completion of a PhD in Physics, Astrophysics or a related discipline Lecturer Grade G • PhD in Physics, Astrophysics or a
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as biostatistics, statistical data science, or machine learning) • Publish refereed articles in journals of international standing • Collaborate with colleagues in the school on research in
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. Additionally, we will equip bacteria with inducible buoyancy and magnetic properties to aid their removal from environment. The project is built at the interface of synthetic biology, machine learning, and
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. Exploit and advance Artificial Intelligence tools and methods (machine learning, data mining) to support identification, extraction and visualisation of data. Lead on the development and delivery
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Engineering Team. We are looking for two Senior Research Software Engineers to join the team to support users of a new High Performance Computing (HPC) machine through a mixture of technical support, training