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high-plex image analysis of tissue Documented knowledge and practical experience in programming and data analysis in R. Good communication skills and extensive documented experience of supervision of
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or service/assignment relevant to the subject area. Assessment criteria Good programming skills and linux/unix experience is a requirement. Knowledge of Matlab or R is also highly desired. Previous
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in Python programming for geospatial data processing, modeling, and mining. Publications in high-quality international peer-reviewed journals within a relevant field, especially experience in
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. Proven experience with X-ray imaging/diffraction techniques, e.g. XRD-CT, 3D-XRD, µ/nanoCT, STXM or similar. Experience in computer programming for data analysis, e.g. Python. Demonstrated ability to
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battery manufacturing is desirable. Prior experience in laboratory and project management is also advantageous. Programming skills or acquaintance with applying Python packages, statistical data analysis
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food, protein, or colloidal systems, knowledge and experience in statistical experimental design, modelling, programming, or multivariate data analysis, experience in process development and pilot
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programming environments, especially R or Python; the applicant’s ideas concerning how the OCCPOL data could be developed and used; and motivation to participate actively in a collaborative research project and
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. Experience analyzing large datasets (e.g., satellite, observational or numerical model output). Strong scientific programming skills in Python or similar. A track record of peer-reviewed publications