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and leading a programme of numerical simulations relating to all aspects of our research on P-MoPAs; using particle-in-cell computer codes hosted on local and national high-performance computing
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relevance of the highlighted publications to the project. Sample code, preferably on a code repository. Provide a URL and describe in one paragraph your role in developing the software. Names and email
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pathways, specifically chromatin and small non-coding RNAs, in regulating gene expression in the parasitic nematode Strongyloides. In this role you will use Strongyloides epigenetic profiling data
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. The salary for this post is at Grade UE07: £40,497 to £48,149 per annum, pro-rata if part-time. Your skills and attributes for success: PhD (or near completion) in a relevant field. Strong coding skills in
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mathematical and computational techniques, it is essential to have experience in mathematical modelling / dynamical systems theory / numerical methods / coding. An ideal candidate would have a PhD, or
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including Dr Keith Winwood (Manchester Met), and Prof Lukasz Kaczmarczyk (University of Glasgow, and founder of open-source finite element code MoFEM). Key Responsibilities The key technical responsibility
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including Dr Keith Winwood (Manchester Met), and Prof Lukasz Kaczmarczyk (University of Glasgow, and founder of open-source finite element code MoFEM). Key Responsibilities The key technical responsibility
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good understanding of biomedical signal processing Proficiency in Python coding Knowledge of statistics and physiological signal analysis Good understanding of photoplethysmography and Near-infrared
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, enhancing, and running code in R. You will have excellent communication skills with the ability to talk to different audiences, as you will be collaborating with a team of researchers across multiple
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computer codes to solve some of the daily research problems and have experience with high performance computing. You should have a PhD in Chemistry, Physics or Materials Science with a proven research track