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PhD Studentship: The Role of O-glycosylation of the Stalk Region of the Immunoglobulin Receptor GPVI
based in group of Dr Alexandre Slater and Prof Steve Watson within the Birmingham Platelet group at the University of Birmingham, Department of Cardiovascular Sciences. Dr Slater’s interests have focussed
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energy? This PhD offers a rewarding chance to become a materials science expert, combining cutting-edge characterisation with real-world industrial impact. At the University of Manchester, working in
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sequencing and researching disease in patient cohorts, working with machine learning techniques and programming computers. The candidate will learn about different flavors of metagenomic sequencing, how
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decisions about personalised phage therapy. The expected workload is mainly computational, using bioinformatics analyses to investigate the microbiome and phageome with supporting laboratory work for DNA
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developing neurotechnologies for treating brain disorders? In this PhD you will work with datasets of neuronal activity in animals and humans. You will apply computational approaches to describe spatial and
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science policy, science communication and beyond. Further information on the programme and instructions on how to apply, including a link to the application portal, can be found on our website https
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https://www.lifearc.org/project/lifearc-translational-centres-for-rare-diseases/ . This is an exciting opportunity to collaborate with computational and wet-lab scientists at the forefront of pioneering
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Bachelors, or Masters degree in Electronic, Chemical Engineering, Applied Physics, Physical Sciences or equivalent. Experience in one of the following topics will be a plus:· Working knowledge of MATLAB
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may require an ATAS (Academic Technology Approval Scheme ) clearance certificate prior to obtaining their visa and to study on this programme. How To Apply You must apply through the University’s Apply
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, Engineering) and should be self-motivated, able to take ownership of their research, and effectively communicate their research findings. Training in all the computational and experimental methods will be