28 phd-mathematical-modelling-population-modelling Postdoctoral positions at University of London
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experimental approaches to develop and validate novel in vitro and ex vivo approaches that model arterial medial calcification without using any animal products. This work will represent an exciting step forward
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responsibility for implementing a deep learning work-package as part of a Cancer Research UK-funded programme, developing an image-recognition model to identify morphological features corresponding to clonal
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are seeking highly-motivated researchers holding or near completion of a PhD in a relevant biological or life sciences subject. The ability to develop independent insights into the project, solve complex
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Research Council’s (AHRC) Bridging Responsibilities AI Divides (BRAID) programme that will explore new technologies, new business models and new approaches to data provenance in pursuit of an equitable
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the School/Department/Institute/Project The Wolfson Institute of Population Health (WIPH) is an exciting and dynamic environment, home to 400 staff, 91 PhD students and more than 500 postgraduate taught
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-tumour heterogeneity, clonal evolution, biomarkers of response and resistance to therapies and developing methodologies to study lymphoma cell populations (Okosun et al, 2014; 2016, Nature Genetics; Araf
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stakeholders. The post holder will be expected to undertake interviews and focus groups, and support the quantitate analysis for this project. About You You will be a highly motivated individual with a PhD (or
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. About the Institute The Wolfson Institute of Population Health (WIPH) is an exciting and dynamic environment, home to 450+ staff, 100 PhD students and c500 postgraduate taught students. It harnesses
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frameworks, and experience of undertaking equity focused research. You must have a PhD in a relevant area, and the ability to work independently and collaboratively as part of an interdisciplinary team
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the boundaries of neural interface research towards an engineered biology approach. About You The successful candidate will hold a PhD in chemistry, molecular biology, or biomedical engineering (or a related field