153 algorithm-development-"Multiple"-"Prof"-"Prof"-"Simons-Foundation"-"St" positions at University of Manchester
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visualisation suite, analysing data for in situ and time lapse data using a range of 3D image analysis software. You will identify areas for improvement and leverage your expertise to develop innovative hardware
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will focus on the investigation of the applications of molecular and ionic transport through capillaries made from 2D materials and heterostructures which will lead to technological development of 2D
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building and maintaining strong relationships across academia, government, and industry. A key part of the role involves developing and implementing communication strategies, including oversight of the NSEC
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Officers with the planning and delivery of training and the development of support resources, and thus contribute to the delivery of high quality and effective online and blended learning within the Faculty
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transcriptomic organisation, using high-resolution single-cell and spatial transcriptomic data. The successful candidate will develop computational frameworks to integrate and analyse multi-modal datasets
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child health. The successful candidate will contribute to the development of advanced mathematical and computational models to analyse high-dimensional multi-omic datasets, including genomics
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, continuous challenge by exposome factors can promote development of chronic inflammatory diseases (CIDs) within this tissue, as well as systemically. Thus, defining the cellular networks that underpin
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adversely affecting their infection prevention credentials. This involves applying advanced materials science and engineering principles to develop and implement innovative recycling and consider
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demonstrable and successful track record of independent and collaborative problem solving and who can foster a culture of team work, whilst being able to support and develop continuous improvement to process and
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and enabling commercial deployment. The work will integrate model based design of experiments, machine learning, hybrid and kinetic modelling (digital twin development), process design, simulation and