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to present your work and represent the team. You must have a PhD* in CS or Engineering (Electrical/Electronics), with specialization in one or more of the following fields: Machine Learning and embedded
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takes input from a machine-learning platform (Python-based) to produce new compositions. A cobot delivers the material to the furnace or a plasma spray to produce new coatings. The proposed research is
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experience of using quantitative methods in research or teaching, including econometric methods, machine learning methods, geocomputational methods, and/or advanced survey methods. Candidates should draw
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Economics with effect from 1 September 2024, for a period of three years. The Academic Career Development Fellow will carry out research in the Department of Land Economy and will teach and contribute
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Criteria Qualifications PhD in optimisation and learning Knowledge, Skills & Experience Possess sufficient breadth or depth of specialist knowledge in machine learning and optimisation and of relevant