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to have the following skills and experience: Essential criteria PhD (or near completion) in bioinformatics, computational biology, machine learning, or a related field Significant experience in the analysis
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rig setups and the modification/re-purposing of existing rigs and equipment. Common activities include machining, cutting, water-jetting, welding, assembling and working with cabling and hydraulics
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of computational optimisation, machine learning, and experimental design of new chemistry. You will develop Bayesian optimisation and other active learning approaches for experimental design with a focus on real
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to continuous improvement. Contribute to the development of appropriate programmes, modules and lectures in accordance with academic and military learning objectives. Participate fully in assessment
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. • Contribute to the development of appropriate programmes, modules and lectures in accordance with academic and military learning objectives. • Participate fully in assessment and examination processes as
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an exciting opportunity to a graduate with the relevant skills and knowledge to develop and implement machine learning techniques to derive new-to-sector advanced insights from Aids to Navigation maintenance
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and techniques used to support the delivery of the school’s learning and teaching outcomes, including working with conventional machine tools/hand tools within an Engineering Machine Shop environment
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the Falmouth & Exeter Students' Union (The SU) and the wider, universities partnership we support Higher Education learning and living, ensuring that the interests of all campus users are at the heart
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. The Opportunity: The successful candidate will focus on developing advanced machine learning and mathematical optimisation frameworks for energy system modelling, particularly under the growing presence of offshore
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The American University of the Middle East (AUM) is a private university established in 2005 in Kuwait. AUM’s mission is to provide an interactive learning environment that facilitates