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Field
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characterisation. You will be expected to contribute substantially to device design and modelling, process flow development and device and small array fabrication and testing. In addition to a PhD in experimental
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secondary datasets). Apply advanced analytical techniques (e.g., econometrics models; AI tools; MCDA; cognitive mapping) to generate robust, actionable insights. Design innovative financing channels and
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primary cardiomyocytes from human iPS cells, human myocardial slices from patients and humanised mouse models with the same mutations as patients, all of which are currently available in the laboratory
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modelling, simulation, and data analysis, applied first and foremost to the field of platelet biology and haemostasis. The postholder will play a key role in a project that will develop novel computational
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develop, spread, and scale a co-produced model of placemaking. The project spans more than 35 miles of three green corridors in the North East: The Tyne Derwent Way in Gateshead, Durham City Green Corridor
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Is the Job related to staff position within a Research Infrastructure? No Offer Description About us The Social Computation and Representation Lab (SoCR Lab; www.socrlab.net ) uses mathematical models
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About us The Social Computation and Representation Lab (SoCR Lab; www.socrlab.net) uses mathematical models and causal experimental designs to understand the fundamental rules behind human and AI
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help develop and characterise advanced patient-derived tumour models and use them to test promising therapeutic targets that exploit vulnerabilities caused by loss of the SMARCB1 gene. This role offers
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experience in: Deep learning Medical imaging computing (preferably neuroimaging) Computationally efficient deep learning Deep learning model generalisation techniques. Translating deep learning models
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circular innovation scenarios to demonstrate the viability of circular innovation and associated business models across different healthcare contexts. Identifying and documenting behaviour change