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quantitative discipline. You will have experience analysing complex, high-dimensional datasets and applying quantitative or computational methods, together with strong programming skills in Python or a
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experience using statistical software such as R, Stata or Python, together with the ability to manage and analyse complex datasets and contribute to scientific publications and presentations. You will also
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, including imaging mass cytometry (IMC) Advanced programming and data analysis skills in R and/or Python Downloading a copy of our Job Description Full details of the role and the skills, knowledge and
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; Excellent computational skills, including experience with Machine Learning (e.g. sklearn, pytorch, tensorflow in Python), and the ability to learn new computational techniques quickly as required; Experience
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Experience in analysing high-dimensional and spatial data, including imaging mass cytometry (IMC) Advanced programming and data analysis skills in R and/or Python Downloading a copy of our Job Description Full
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quantitative/statistical skills and experience handling large, multi-source environmental and/or biomonitoring datasets. Proficiency in a relevant programming/statistical environment (e.g. R, Python, or MATLAB
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established and excellent bioinformatics skills, including proficiency with coding in R and Python environments and experience in the development/application of a broad range of computational tools/packages
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psychoneuroendocrinological and behavioral studies; advanced statistical and data analysis skill (preferably in Matlab, R, Python) and a track record of peer-reviewed papers of high ambition and quality (ideally published in
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particular text and/or image analysis and platform data Interest in topics related to political communication Knowledge of Python and/or R Strong quantitative analysis skills Teaching experience Excellent
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/ experience in e-learning (TARGET CRITERION) IT skills (Office products, data evaluation, Python) (TARGET CRITERION) Team player and high social/communicative skills (TARGET CRITERION) Knowledge of MIP