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of a relevant PhD qualification. The title of Lecturer will be applied upon successful completion of the PhD. The candidate should have a background in quantitative methods or applied/social statistics
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position will require laboratory experience to work on current projects using scientific methods. In addition, you will identify procedures, preparing tenders and work scopes to meet client needs and
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to novel and new methods in teaching and learning, and the school actively supports delivery of innovative teaching methods and approaches. You will also be responsible for a defined administrative role
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security. It has a strong reputation in the application of cutting-edge research methods, ranging from political ethnography to experimental social science. The role We are seeking to further strengthen
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detailed understanding. This is likely to have been gained through considerable work experience, including clinical trials and other well-designed studies, as well as formal qualifications equivalent to a
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. Desirable Criteria You will ideally hold a PhD in Neurosciences or a related field, along with an understanding of diagnostic landscape of dementia biomarkers. You will have experience in microscopy
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About MINDS Centre for Doctoral Training The Machine Intelligence for Nano-Electronic Devices and Systems (MINDS), is a very successful £5M Centre for Doctoral Training (CDT) funding around 50 PhD
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relating to deliveries. Practical knowledge may have been gained through some or all of the following: work experience, Formal qualification(s) equivalent to Level 2 or 3 of the Regulated Qualifications
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administration, or working with international partners would be advantageous. Candidates who are invited to interview will be asked to undertake an IT skills and comprehension test prior to formal interview
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methods (statistics, ML, AI) with applications to energy and built environment problems and programming languages e.g. Python, R, Matlab, C# etc applied at highlighted scales. About you We welcome