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various mouse models we currently have running in the lab. There will also be good opportunity to collaborate with other members of the Nolan lab working on aligned projects. The post would suit somebody
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assessments. Competence in data analysis and databased management, including techniques relevant to longitudinal studies (e.g. mixed models, SEM, in R, Stata, MPlus, or other suitable programme) Proven ability
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& NCO & CDO, etc.), and have demonstrable expertise in the analysis of big data, and the interpretation of climate/weather observations/reanalyses and model simulations. Additionally, experience with
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skills and finite element modelling simulations. Education, Qualifications and Experience Essential Criteria A PhD (or equivalent experience) in physics, materials science, electrical engineering or
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position in computational biology combines the development of novel computational methods involving control theory with practical systems modelling, simulation, and data analysis, applied first and foremost
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computational methods involving control theory with practical systems modelling, simulation, and data analysis, applied first and foremost to the field of platelet biology and haemostasis. The postholder will
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, spatial, and social data into digital twin models for scenario testing and policy simulation. Adapt co-design methods to local contexts in demonstrator sites (Portugal, Sweden, Italy). Contribute to policy
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simulation, fabrication and experimental characterisation. The successful candidate will also be expected to contribute to the formulation and submission of research publications and research proposals, as
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following: Quantum chemistry (preferably of excited states) Multiscale simulations/environmental modelling Excited state dynamics Data Science/Machine learning in chemistry/Cheminformatics Molecular dynamics
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. Concurrently, you will develop lower order analytical models and perform high fidelity computational simulations to corroborate experimental findings and propose other configurations to be subsequently