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research in ship hydrodynamics, design optimisation, and marine decarbonisation. Our work combines advanced simulation, AI, and experimental methods to support a more sustainable maritime future. The Role
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contract, individuals may also be supported to apply for PhD funding for a different role to commence at the end of the CRF contract. *This is a 1-year post to gain clinical experience in HPB oncology and to
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and machine-learning methods (AI/ML) to extract novel biological insights that drive our translational and fundamental research programmes. In addition to your research leadership, you will play a
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include density functional theory (DFT) and higher level methods to accurately screen new systems based on their optoelectronic and vibrational properties. The role holder will develop and apply
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will apply statistical expertise to design and implement methods for the integration and analysis of data sets from research projects investigating the genetics of epilepsies. You will be responsible
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seminars etc Supervise students on research related work and provide guidance to PhD students where appropriate to the discipline Contribute to developing new models, techniques and methods Undertake
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early communication outcomes. The role involves applied, mixed-methods research across two stages: exploratory interviews, focus groups, and surveys with childminders, followed by a formative evaluation
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include density functional theory (DFT) and higher level methods to accurately screen new systems based on their optoelectronic and vibrational properties. The role holder will develop and apply
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/ About You Applicants should hold a PhD or equivalent and have demonstrable specialist expert knowledge in health psychology theory and methods. Further information about the requirements of the role is
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annotation of these metabolomes using multistage fragmentation (MSⁿ) data, incorporating novel computational methods and strategies (e.g. spectral matching, network-based approaches, machine learning) where