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-low temperature and high pressure). The studies will be performed in-house using the world-leading instrumentation available in the laboratory of Prof. Probert, as well as via access to the UK’s national
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problems? The Scalable computing group are focused on applying Machine Learning/AI and visualisation to real-world problems – highlighted by the fact that the National Innovation Centre for Data is a spin
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insects Excellent knownledge of cell cycle regulation Attributes and Behaviour Highly organised, efficient, and able to perform tasks with accuracy and high research integrity Engaged and capable of working
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outline how you meet the essential criteria of the role and evidence this with examples. Key Accountabilities Contribute to the research programme in the field of Bayesian computational statistics as part
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are recruiting a new research associate to join our research team. Talented, skilled and self-motivated individuals are sought to carry out high-quality research in computational and experimental marine
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work on the INSTINCT-MB programme, which brings together teams based at Newcastle University, The Institute of Cancer Research and University College London. The programme will generate a wide range of
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activities such as workshops and impact-oriented events. This is a unique opportunity to inform the work programme of an exciting new interdisciplinary centre for Joined-Up Sustainability Transformations
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are now working to develop new therapeutic strategies to inhibit this pathway. This project aims to perform in vitro pre-clinical evaluation of therapeutic antibodies (targeting cancer-associated glycans
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transferable skills and some experience or awareness of the research environment Desirable Presentations at conferences and/or high-quality publications Experience of computational data-analysis Prior experience
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for 36 month fixed term at 0.6 FTE (22 hours). Key Accountabilites Organising intervention sessions and data collection, including set up, implementation and analysis of the SleepBoost intervention program