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’ or ‘internationally excellent’. The highly research active SP Section comprises 13 permanent academic staff with research interests in Bayesian computational statistics and machine learning, uncertainty quantification
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installation of relevant equipment. Desirable experience therefore includes sheet metal fabrication techniques and the use of machine and hand tools. The role holder should also have the ability to provide
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. Supported by major research grants, the School of Computer Science at UNNC is developing research excellence in areas including Machine Learning, Big Data, Visual Analytics, Computational Intelligence
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machining (milling and/or turning) you will contribute to the design and manufacture of high-quality parts that support the world changing research and teaching ambitions of the University. You will
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research in areas including Artificial Intelligence, Big Data and Visual Analytics, Computational Intelligence, Machine Learning, Software Implementation and Testing, and their applications in manufacturing
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engineering disciplines. There will be opportunities for you over the apprenticeship period to learn and train on a wide range of cutting-edge engineering technologies and disciplines including: CNC machining