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processes that use data-driven machine learning. Given the span of the IN-CYPHER programme, we are seeking multiple motivated research fellows. Unique in its scope, we are developing technologies that span
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, provided at the bottom of the page. This document will provide information of what criteria will be assessed at each stage of the recruitment process. Further Information We pride ourselves on being
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with an interest in the following specialities: Oncology, Women’s Oncology, Vascular, Haematology, Cardiology, Cardiothoracic, General Surgery, Urology, General Medicine, Endocrine
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application process for a fellowship that combines a personalised programme of retraining and mentorship. Our fellows gain the confidence and skills they need to succeed and enable them to generate novel, high
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, process mapping, data analytics, economic modelling, or a useful area of business theory is needed. Previous experience in some of the business and management areas related to the project, which may include
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. This document will provide information of what criteria will be assessed at each stage of the recruitment process. Further Information We pride ourselves on being inclusive and welcoming. We embrace diversity and
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of imaging, and bio sample collection, processing and storage. Coordinate patient and public involvement activities relevant to the HEATMAP project. Collaborate with clinical colleagues in the Early
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development programmes. The fellowship is tenable for one year. On an exception basis, a two-year programme may be supported. Service Commitment One year for every year of sponsorship. Application Process
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Location: University Park We are looking for a highly motivated post-doctoral researcher to work on the data searching, processing, management, and qualitative analysis of data sources related
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management system for the e-vessel microgrid for coordinated control of multiple energy sources considering cost, carbon, and operation constraints. Operate the simulated electrical model on a real-time system