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Field
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, G. Beau, et R. Deterre, « On-line melt temperature measurements for polymer injection molding through an instrumented annular duct », Polym. Eng. Sci., vol. 62, no 12, p. 3994-4004, 2022. Where
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Leibniz-Institute for Plant Genetics and Crop Plant Research | Neu Seeland, Brandenburg | Germany | 24 days ago
programming languages like R, and/or Python. You have excellent communication skills and a willingness to collaborate across disciplines. You fit to us: if you have strong scientific curiosity and motivation
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measurements from optical techniques such as white light interferometry. The selected candidate will contribute to the group’s R&D output and carry out the following tasks over the 4-year PhD: Perform 3D
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and R is a merit. Proven excellence in written and spoken English is essential. The fieldwork will take place at multiple locations across Sweden; a driver’s license is therefore required. Within
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species and vegetation ecology), advanced statistical modelling using R software, and conducting fieldwork under harsh environmental conditions. A successful applicant should have good skills in English and
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techniques is an advantage • Prior experience with Python and R programming is considered an asset • Highly motivated, team-oriented, and well-organized • Good English communication skills (spoken and
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., Python, R, MATLAB) Experience in built environment monitoring Fluent English skills, both written and spoken. Ability to publish the research results in high-reputation international journals Personal
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collection programs (e.g. R, fomr) Very good English and German skills (or willingness to acquire them) Interest in media communication We offer Part of a young and dynamic Emmy Noether Research Group Diverse
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)chemical analytical techqniues (e.g., HPLC, GC, ELISA, flow cytometry) Analyzing complex and/or multidimensional datasets Programming for data analytics (e.g., Python, R) If you do not recognize yourself in
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are desirable, e.g., regression analyses, repeated-measures analysis, structural equation modelling, visualisation, preferably in R • Competences in quantitative research methods - ideally knowledge of several