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analysis to a high academic standard. Essential Interview/Application Experience of time series and/or macroeconometric methods using R, MATLAB, Gauss or equivalent. Essential Interview/Application
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analysis to a high academic standard. Essential Application/Interview Experience of microeconometric methods using STATA. Essential Application/Interview Knowledge of the relevant academic literature in
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or machine learning methods to tackle predictive questions. Proficiency in building and validating statistical methods and/or machine learning techniques in R or Python are also essential. Applicants
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delays can approximate derivatives through finite differences. For instance, the proportional-integral-derivative (PID) controller relies on an output derivative, which is not measured directly. Instead
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/interview Proficiency in building and validating statistical and bioinformatics methods in the appropriate software packages Essential Application/interview Effective communication skills, both written and
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Overview We are seeking to appoint a versatile, post-doctorate Research Associate with mixed-methods healthcare research experience within the Division of Clinical Medicine at the University
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project is dedicated to advancing analytical methods for designing controllers for infinite-dimensional systems governed by PDEs. The focus will be on developing finite-dimensional and robust controllers
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strength. You will have strong understanding of conducting research involving qualitative methods and working with patients for co-designing and testing lifestyle interventions. In addition, you will have
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technical information clearly and succinctly to a wide variety of stakeholders, in a variety of methods, for example verbally or in presentation or written format Essential Application/interview Ability
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variety of methods and approaches Essential Application / interview Wide range of knowledge of tools and techniques for developing high quality software (e.g. continuous integration / deployment, software