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Field
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Human Behaviour in projects targeting social good. Research at N/LAB focuses on the development and application of innovative computational methods using Big Data, Behavioural Science and Machine Learning
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fees for the period of the relevant programme as outlined in the offer letter (usually three years). CSC will provide living allowances as prescribed by the Chinese Government, and will cover the round
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The Intelli-Ingest Doctoral Network is an EU-funded Marie Skłodowska-Curie Action (MSCA) initiative is a network bringing together leading academic, clinical, and industrial partners to train a new generation of experts in ingestible medical technologies. These orally delivered, minimally...
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programme name, select ‘Electronic, Electrical & Systems Engineering’ and quote the advertised reference number ‘MA-2023-02584N’ in your application. Please submit a Curriculum Vitae (CV) and the minimum
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for the project. This could be through a module on your programme or by independent learning. Support will be provided to gain confidence and experience in GIS to be able to complete the project. Support: Students
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to encourage an effective and vibrant research culture, founded upon the diversity of activities and knowledge. A tailored programme of seminars and events, alongside our Doctoral Researchers Core Development
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requirements A minimum of a 2:1 first degree in a relevant discipline/subject area (e.g. aerospace, automotive, mechanical, electrical, chemical, computing, and manufacturing) with a minimum 60% mark in
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Advances in computing, experiments, and information will continue to reshape engineering in the next decade. This PhD position will nurture a multidisciplinary innovator with the tools to unravel
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and modelling techniques. Real-World Impact: Contribute to transformative technologies in clean energy and carbon capture. Future job opportunities: Digital modelling and computational fluid dynamics
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includes projects in biomedical instrumentation, experimental hardware automation and programming, and computational science. Scientific publications in a relevant area are considered a significant benefit