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Biomedical Campus. You will join an exciting research programme investigating fundamental mechanisms of ribosome assembly, translational control and how defects in these processes drive cancer development
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deep learning, generative models, or biomedical imaging/omics data Strong programming skills (Python, PyTorch, etc.) A commitment to interdisciplinary collaboration and impactful research How to Apply
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access to established university resources, and an induction programme will be delivered to the new appointee. Travel for data collection, events, and workshops is required. Key Duties and Responsibilities
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• To liaise with research colleagues and make internal and external contacts to develop knowledge and understanding to form relationships for future research collaboration • To plan and manage own research
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there be interest, there is also the possibility of developing teaching and supervision skills on our MSc Astronautics and Space Engineering programme. Sponsored by EPSRC and Cranfield University, this DLA
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general enquiries on the scholarships, please email: Research Programme Leader, Dr Irma Malafronte, at irma.malafronte@roehampton.ac.uk For administrative support regarding the application process, please
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, have an ability to plan and prioritise your own workload, with general supervision, and you will have an ability to work within a team environment. You will have excellent interpersonal and communication
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Postgraduate Research Society (PGES) and our PGR Research Group Reps to enhance the research environment for PGRs. PGRs benefit from training through the Researcher Academy’s Training Programme, those based
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entry requirements for our PhD programme . How to apply Please navigate to this page , where you can find more information on how the project sits within the sponsor organisation and in the university
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; EPSRC Centre for Doctoral Training in Green Industrial Futures | Bath, England | United Kingdom | 2 months ago
. The research will be computational based, and at this stage is still broad, so we can formulate the optimal plan for the right candidate. We will take an interdisciplinary approach, and you will be able