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application of mechanistic and hybrid digital twin models for chromatography and tangential flow filtration (TFF) operations, including prediction of binding capacity, multicomponent adsorption, and fouling
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-time PAT data streams to enable predictive monitoring, dynamic process adjustments, and improved control strategies. Working closely with AstraZeneca, the postholder will apply these digital twins and
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, Griffith J et al A Predictive Model for Progression of Chronic Kidney Disease to Kidney Failure. JAMA. 2011;305(15):1553-1559. Runx1 and Heart Failure Supervisors: Dr C Loughrey , Dr S Nicklin , Ewan Cameron
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secondments at UCL – University College London and at University of Leeds (UK). We are looking for you! Do you want to be trained to develop multi-level thrombosis risk prediction models by integrating insights
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cortex. Neurobiology of Learning and Memory https://doi.org/10.1016/j.nlm.2021.107525 Defining the sensory neuron response to nerve injury Supervisors: Dr Greg Weir A PhD position is available in
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, Clin Infect Dis 58: 1424–1429. https://doi.org/10.1093/cid/ciu102 Chalghaf B, Chemkhi J, Mayala B et al. (2018). Ecological niche modeling predicting the potential distribution of Leishmania vectors in
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sequencing, and predictive modelling to define the immediate molecular consequences of light and temperature signals. One crucial component of plants’ sensory network is the circadian clock. In plants
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. Mitchell, R. J. Carmody, “NF-κB and the Transcriptional Control of Inflammation” in International Review of Cell and Molecular Biology (Elsevier, 2018; https://linkinghub.elsevier.com/retrieve/pii