284 postdoc-in-thermal-network-of-the-physical-building positions at University of Nottingham
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to provide support on the application and interview process. Discover our benefits, visit Your Benefits website. We welcome applications from UK, Europe and worldwide and aim to make your move to the UK as
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- 24/7 support. Supplier discounts and travel schemes. Staff Networks, events and activities and state of the art sports facilities. A permanent post for 52 weeks of the year with a 20% allowance for
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Candidate Guidance to provide support on the application and interview process. Discover our benefits, visit Your Benefits website. We welcome applications from UK, Europe and worldwide and aim to make your
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analysing the outputs of hydrodynamical simulations of clusters of galaxies to trace the build-up of mass through the cosmic network as clusters grow by mergers or smooth accretion of matter along filaments
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explore or optimise the flexible structures and manufacturing process of Litz wires. This studentship offers the opportunity for the PhD student to lead the development of innovative simulation tools
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to provide support on the application and interview process. Discover our benefits, visit Your Benefits website. We welcome applications from UK, Europe and worldwide and aim to make your move to the UK as
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have a positive and energetic approach and be a colleague that the team look forward to working with, building strong relationships with others to accomplish tasks and shared goals. You will have an eye
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have a positive and energetic approach and be a colleague that the team look forward to working with, building strong relationships with others to accomplish tasks and shared goals. You will have an eye
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join our team of cleaners at the University Park East Area. Main duties will include: cleaning a wide range of areas/spaces and providing general and specialised cleaning within our buildings (offices
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challenging properties of uncertainty, irregularity and mixed-modality. It will examine a range of models and techniques that go beyond Markovian approaches, including state-space models, tensor networks, and