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novel methods across evolutionary analysis, mathematical modelling, micro-scale experiments and 3D printing. You will have a PhD (or close to completion) in biophysics, bioengineering, mathematical
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a relevant field and have strong quantitative and analytical skills, including experience in food systems modelling or closely related areas. Proficiency in data analysis and coding (e.g. Python, R
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underlying cognitive and affective symptoms in Parkinson’s disease. The post holder will contribute to multimodal neurophysiological data acquisition, computational analysis, interpretation, publication, and
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:38183983) using cutting-edge genomics technologies (https://www.biorxiv.org/content/10.1101/2024.12.20.629444v5) to provide core knowledge for development of new therapies and management strategies for PPK
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:38183983) using cutting-edge genomics technologies (https://www.biorxiv.org/content/10.1101/2024.12.20.629444v5 ) to provide core knowledge for development of new therapies and management strategies for PPK
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research output including analysis and interpretation of all data, maintaining records and databases, drafting technical/progress reports and papers as appropriate. 3. Develop and enhance your research
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Role: Postdoctoral Research Associate in Numerical Analysis Grade and Salary: Grade 7 - £37,694 - £47,389 FTE and working pattern: Full-time (35 hours per week), Fixed for 4 Months Rewards and
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The opportunity The University of Liverpool is a key partner in a £14 million initiative ( https://tinyurl.com/yc5z768m ) to develop a sustainable, next-generation manufacturing facility, using
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symptoms in Parkinson’s disease. The post holder will contribute to multimodal neurophysiological data acquisition, computational analysis, interpretation, publication, and dissemination. They will work
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electrophysiology data obtained through collaborations and perform cross-species comparisons. We use machine learning techniques for neural data analysis and computational modelling with a special interest in