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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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(e.g. mixed models, SEM, in R, Stata, MPlus, or other suitable programme) Proven ability to report research findings with clarity and rigor, demonstrated through authorship of peer-reviewed publications
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non-social paradigms for pre specified research hypotheses. Conducting model simulations, fitting, and recovery, as well as statistical inferences on model outputs, for pre specified research hypotheses
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. This role will involve: Refining the implementing decision-making social and non-social paradigms for pre specified research hypotheses. Conducting model simulations, fitting, and recovery, as
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evaluation of North Atlantic jet-stream changes in large numbers of state-of-the-science global climate model simulations that have recently been produced by key inter/national projects, using the latest
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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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development of a single-cell RNA-Seq pipeline for cochlear tissue that is suitable to translate to our various mouse models we currently have running in the lab. There will also be good opportunity
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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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application. This statement should include three short sections: (a) list of simulation codes used (b) your top three publications (c) previous experience in battery or energy materials modelling. Please do not
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continuum modelling and finite-element simulations of multicomponent, multiphase electrochemical systems. • Ability to manage own academic research and associated activities • Previous experience