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skills in a clinical research setting. This is a unique opportunity for a recent PhD graduate or early postdoctoral researcher to play a key role in developing and implementing bioinformatics workflows
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laboratory and clinical aspects of the project. Responsibilities will include analysing and interpreting data, supporting project management (including accurate record keeping and compliance with ethical
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. The project seeks to develop mathematical models for allocation of critical resources during pandemics. Populating these instances with real-world data we would then develop novel algorithms to solve them
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preliminary data, it combines mechanistic and translational immunology with bespoke in vivo models to define and exploit therapeutically relevant subsets. The Research Fellow will lead studies on cytotoxic T
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antennas to immediately transmit the information to a medical doctor when urgent action is required. However, such batteries need to be completely safe and non-toxic, as well as energy dense and lightweight
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) for further information about this position in advance of submitting your application. Applicants are required to have a PhD* or equivalent professional qualifications and experience in a relevant discipline
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candidates will have a PhD or equivalent in a relevant discipline and experience in the development of machine/deep learning (ML/DL) methods for engineering and will use this experience in collaboration with
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organisations and infrastructure involved in commissioning and planning NHS services (e.g. Integrated Care Systems (ICS)). It will also involve collating and analysing the data collected from these sources
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understanding the molecular basis of brain signalling and neurological disorders. Previous experience in tissue culture and proteomics including data collection, processing and interpretation is essential
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. This is for a two-year contract until 30/09/2027 to develop and carry out field trials; survey remote sites; install instruments, data loggers and transmission systems; and analyse and interpret data. We