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; b) programming skills (experience with SAS, R and/or latent class analysis are particularly desirable); c) content knowledge in obesity, appetitive behaviors, and/or behavioral genetics; d) peer
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experience in quantitative modelling, preferably using R. Is fluent in English (spoken and written) and has good communication skills. Is enthusiastic about developing replicable models to address complex risk
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Stata, R and/or Python. a scientific mindset, inquisitive personality, team player, and the capacity to work independently; In our international working environment, there is an increasing amount
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(e.g. Python, R) Experience in the use of neuroimaging analysis (fMRI, MRI) to study mechanisms of brain function Previous experience of using Bayesian methods in both model development and fitting
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using software and programming languages such as R, Python, Google Earth Engine, etc. Demonstrated ability in integrating ecological theory with ecosystem ecology and remote sensing to improve predictions
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research and handling sensitive data is preferred. • Strong quantitative skills, including proficiency in regression modeling, environmental mixtures analysis, and spatial methods using R. • Familiarity with
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DATASETS AND/OR PEER REVIEWED PUBLICATIONS. - APTITUDE FOR DATA MANAGEMENT AND PROGRAMMING (R AND/OR PYTHON). License/Certification: Knowledge Of: Skill In: Ability To: Preferred Qualifications
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Coding skills and experience in one or more open-source languages (e.g. Python, R) Experience in the use of neuroimaging analysis (fMRI, MRI) to study mechanisms of brain function Previous experience
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of influence: You will join the group of University Professor Sarah R Davies, which focuses on Technosciences, Materiality, and Digital Cultures and which studies the digital as material practice in contexts in
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quantitative skills Proficiency with statistics and data analysis Familiarity with a programming language such as R Willingness to collaborate with other postdoctoral researchers, students, agency and university