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genetics/genomics Experience in bioinformatics/coding preferred Fieldwork skills (optional) Entry Requirements At least UK equivalence Bachelors (Honours) 2:1. English Language requirement (Faculty
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(optional). Person specification: Prior experience in computer coding (e.g., Python, SLiM), AI modelling, and understanding of evolutionary or conservation genetics / genomics is desirable. Good teamwork
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, visualisation and interpretation using coding (Python or Matlab) and learn to use a 1-dimensional ocean biogeochemical model. You will collaborate with the dynamic Rothera and POLOMINTS (http://polomints.ac.uk
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- and time-specific innervation that extends into adolescence. Our lab has used whole-brain tissue clearing, light-sheet imaging, and machine learning to map the spatial and temporal dynamics of serotonin
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molecular switches that could be targeted by anti-fibrotic drugs. You will master • genome editing, • human iPSC culture and directed differentiation, • live cell biomechanical imaging, and • multiomics
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more sensitive and faster cancer imaging. This PhD project will focus on surface functionalisation of metascintillators to optimise their scintillation performance, light yield, timing resolution, and
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: Advanced molecular and protein analysis Mass spectrometry-based imaging Multi-omics technologies Preclinical cardiometabolic animal models They will also gain professional development in data stewardship
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methodology to simulate representative offshore operating conditions using a purpose-built prototype system, enabling experimental validation under combined electrical, thermal, mechanical, and environmental
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mixture ratio has an impact on the performance of the hybrid propellant propulsion system making it hard to optimise. Work at Kingston University has been on the development of imaging techniques using
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metabolomics, as well as imaging mass cytometry, and test the effect of AZ clinical compounds on the immune-metabolic landscape of our PanIN-to-PDAC models. Dr Koulman will provide training and support with