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We wish to appoint a talented, enthusiastic and self-motivated researcher with mixed-methods/qualitative research skills to work on an NIHR funded research grant in the Division of Nursing
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We are seeking a motivated and collaborative individual to join our team as a NextNet Programme Grant Project Manager. Funded by UK Research and Innovation (UKRI) for five years, the programme grant
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We are seeking an enthusiastic and self-motivated teacher to join the Department of Computer Science as a Lecturer/Senior Lecturer in Computer Engineering/Hardware. This role offers an exciting
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to ensure the successful delivery of the MBChB programme Have prime responsibility for the academic content and learning materials associated with their specialty for Year 4 MBChB and for this: Support equity
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respond to the changing nature of work, particularly as the responsible use of AI becomes part of everyday practice. As Programme Manager, you'll be at the heart of this flagship partnership, coordinating
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, microplastics; by means of numerical and experimental approaches including high-performance computing, data science methods via machine learning/AI and digital twins, enhancement, development and of application
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Criteria: Experience working in Linux and high-performance computing environments. Experience with turbulence modelling (RANS, LES, or hybrid RANS-LES methods). Experience working with industrial partners
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Type of award Studentship Value Fully Funded Studentships Specified use Please refer to the criteria on the BUDI website . Tenable period Ongoing Continuation of award Continuation of the award is subject to satisfactory progress. Number available This year, there are 50 studentships...
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reduced-order models; integrate the resulting methods with an existing coupled floating-platform code; and verify and validate the models using suitable numerical, experimental and field data. They will
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across individuals. To characterise this variability, you will take advantage of unique in its kind datasets and advanced mathematical and computational methods and help develop personalised models