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Field
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computing, computer architecture, programming models and high performance computing. These are your qualifications: Must-haves: Completed doctoral/PhD studies in Computer Science or a closely related field
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. Teaching in accordance with collective agreement regulations. Supporting the supervision of MSc and PhD students. Taking on administrative tasks in research and teaching. This is part of your personality
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and experience: Essential criteria PhD in bioinformatics, computational biology, or a related discipline * Extensive experience and expertise in analysing/ training models on biological or chemical
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-geostrophic idealised model and use operational and bespoke Met Office model output for case study analysis. You will have : a PhD in atmospheric science, engineering, physics or mathematics (or a closely
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to partners' locations may be required. You should have a PhD degree or equivalent in materials science and engineering, physics, chemistry or another related scientific or engineering discipline, and should
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incubator cleaning etc. About You We are seeking a junior postdoctoral candidate, ideally holding a PhD in Immunology or Inflammation biology. Experience of in vivo work, flow cytometry and imaging will be
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solutions to the inclusion and net zero challenges facing twenty first century urban mobility. The ideal candidate will have: Demonstration of at least one of the following PhD in a relevant field (e.g
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, PhD students, and research assistants. One project involves the development of a combined functional MRI - electrogastrography (EGG) protocol; a second involves respiratory interoception in a patient
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and how it may respond to vaccination. You will supervise master’s and PhD students, and support the overall efforts of the lab. This post offers the opportunity to engage in cutting-edge translational
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computational biology and mathematical spatial analysis via independent study and training courses. It is essential that you hold a PhD/DPhil (or close to completion) in mathematics, computational biology, data