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Licence (or equivalent in home country) Experience of using in vivo mouse models to assess immune responses High level analytical capability Ability to communicate complex information clearly Ability
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the Sterne-Weiler Lab i n Computational Biology / Discovery Oncology. The postdoctoral position is focused on developing and applying foundational AI models to investigate clinically relevant cancer
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, conducting field trials of such interventions is challenging due to complex logistics and uncertain outcomes. We aim to develop novel methodological strategies that can reduce the resource requirements
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research investigating novel treatments for neurodegenerative diseases such as motor neuron disease, particularly through the use of zebrafish, rodent and cell culture models of the disease. You will be
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integrate complex flow on Discrete Fracture Networks (DFN). The objective of this project is to develop a tool to generate DFN models amenable for multiphase flow, and scale up the model to be usable with
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conduct a complex medium-throughput assay using 3D skin models, as well as design and implement methods for validating screening hits. The work is part of a high-stakes project that looks to develop a new
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network of GP practices across the UK. The post-holder will have a postgraduate degree, ideally a doctoral degree, in a relevant topic and experience developing complex statistical models for real data
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of the position is to pursue cutting-edge research in automata theory, and possibly at the interface with algorithms (fine-grained complexity). We will consider applications for employment on a part-time or other
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. Experience of the development, validation, analysis and reporting of complex decision analytic cost effectiveness simulation models. Experience of the application of advanced value of information analysis
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imaging and immunological datasets Ability to communicate complex information clearly Fluency in relevant models, techniques or methods and ability to contribute to developing new ones Ability to assess