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of The University of Glasgow Inference Dynamics and interaction Research group, in the School of Computing Science, including establishing and sustaining a track record of independent and joint publications
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Job Purpose You will contribute to/make a leading contribution to the EU Climinvest project, which aims to develop technology to support the assessment and creation of bankable and sustainable
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myocytes or neurons. F9. Hands-on experience of the computational aspects of cryo-ET/fluorescence microscopy, including the use of dedicated software. Additional Details Informal enquiries should be
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Job Purpose The post holder will drive an interdisciplinary artificial intelligence (AI) for cancer project. The project will develop novel computational methods that leverage state-of-the-art deep
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autonomous sensing systems. The project requires experience with setting up sensing hardware, software defined radio systems and other lab equipment for data collection in addition to experience of programming
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tissue-level determinants of proarrhythmia in an experimental model of long QT syndrome (LQTS) with translation into novel risk stratification approaches using computational modelling. The successful
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. Specifically, the job requires expert knowledge in the design and synthesis of bioactive organic molecules. The successful candidate will also be expected to contribute to the formulation and submission
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of Glasgow Centre for Virus Research (CVR) (http://www.cvr.ac.uk/) and will play a leading role in a UKRI-funded research programme focussed on identifying, characterising and manipulating host enzymes
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Qualifications Essential A1. SCQF Level 10 [Honours degree] in psychology, social sciences, health sciences or a related subject. Desirable B1. A postgraduate qualification in social sciences, public health
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organised by the College of Medical, Veterinary and Life Sciences Graduate School. Full details of the programme are available at http://www.fom.gla.ac.uk/RDTC/ Regular attendance and contributions