50 molecular-modeling-or-molecular-dynamic-simulation-"Prof" Postgraduate positions in United Kingdom
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enteric pathogen Campylobacter jejuni; the leading bacterial cause of human gastroenteritis globally. This post aims to apply molecular and phenotypic methodologies to characterise the C. jejuni Type VI
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team and contribute to a programme of work led by Prof Pratik Choudhary around type 1 diabetes and technology. The appointed individual will have the opportunity to contribute to the real-world evidence
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, purification and biophysical characterisation. You will work within a dynamic and collaborative research group investigating protein structure-function relationships, supporting fundamental science a with real
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candidate may be employed at Grade E or Grade F depending on qualifications. The project is led by Prof. David Crundall. You will work with a small team to help create and validate our training course, and
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directly with the program lead, Prof Rose McCab, Dr Alexandra Bakou (Trial Manager) and Maria Long (Trial Manager) in the School for Health Sciences, City, University of London.. The post will be based
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these in vivo using established models in combination therapy approaches including the use of immune checkpoint inhibition and other antibody targets. The lab is well funded by the Academy of Medical
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in Cardiff to accelerate the research along the impact pathway. The research is part of a multi-disciplinary collaboration led by Prof Elaine Ferguson (School of Dentistry), Prof Dipak Ramji (School
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vision-language (V-L) research. The framework to be developed will be leveraging existing pre-trained vision-language models to improve the performance of matching listings with existing products, and for
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vision-language (V-L) research. The framework to be developed will be leveraging existing pre-trained vision-language models to improve the performance of matching listings with existing products, and for
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funded by eBay which aims to create a framework to support vision-language (V-L) research. The framework to be developed will be leveraging existing pre-trained vision-language models to improve