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. The programme is led by Dr Jutta Tobias Mortlock, in collaboration with UK government and military stakeholders. The role is ideal for a scientist-practitioner with a postgraduate degree in organisational
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are committed to maintaining a safe and secure environment for our students, staff, and community by reinforcing our Safer Recruitment commitment. We're very proud to be a signatory of the Armed Forces Covenant
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subject, including: biomedical engineering, sports science, physiology, medical science, data science. The candidate must have good data handling skills and have or be willing to learn computer programming
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Language Processing and Machine Learning are requirements of the role as well as considerable experience in the finance industry. There will also be opportunity to collaborate with external companies---experience
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learning, and leads on the University’s Access and Participation Plan (APP). A key focus of the Directorate is ensuring the University has a high quality and sustainable educational portfolio, which delivers
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School and British Isles DBT Training to deliver a national, NHS England funded, distance-learning programme of PG Dip training in DBT. This post will provide outstanding opportunities to develop skills in
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involve working with multiple staff across the UK who are delivering local projects and also with the central IMPACT team located at the University of Birmingham. Description of Duties Supporting monitoring
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will be to support the delivery of the Department of English and Creative Writing’s BA programmes. You will be expected to teach a range of undergraduate modules, which will likely include Approaches
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Secretion System (T6SS), a harpoon-like machine allows bacteria to fire damaging toxins, known as “effectors”, into other bacteria and in human cells, allowing bacteria to cause disease. In several notorious
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enthusiasm for the topic will be expected, along with the ability and willingness to both learn and synthesise evidence and work with colleagues from various subject areas. Experience in longitudinal data