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research into a functional and interactive platform for clinical and industry use. The successful candidate will be responsible for refining deep learning models, conducting usability testing, and supporting
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to experimental design and procedure as part in a collaborative decision-making process, while taking responsibility for implementing experiments, theoretical models and data analysis. Responsibilities will also
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procedures. Advise students on events/ activities management. Check and approve student event applications to ensure the required information are complete before further processing – this should include
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transport modes. By leveraging real-time data and advanced modelling, in collaboration with industry and all research partners, TransiT will identify the most cost-effective, energy-efficient pathways to net
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(e.g. Matlab / Python) Experience of or willingness to work with pre-clinical tissue models (e.g. farmed meat) and human tissue (e.g. contaminated instruments in clinical facilities). A proven academic
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-traditional, e.g., event data) and network structures (for sensor networks). In this project, we will investigate Bayesian deep learning approaches to training models under uncertainty for several sensing
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, theoretical models and data analysis. Responsibilities will also include assistance in the day-to-day maintenance of the experimental facilities, liaising with external collaborators, assisting in
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as part in a collaborative decision-making process, while taking responsibility for implementing experiments, theoretical models (where appropriate) and data analysis. Responsibilities will also
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to develop cutting edge deep learning models for multi-scale flow modelling of CO2 in subsurface reservoirs. Two aspects are of special interests (a) pore-to-core scale upscaling (b) upscaling of reactive flow
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funds..) Requesting return of PDC’s held within the cheque warehousing facility of the bank. Updating and requesting approval of any changes to bank mandates etc. Any other bank related administration