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Field
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networks and machine learning strategies for the analysis of scattering data. Large amount of scattering data obtained in our group requires development of the advanced analysis techniques. In this project
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. - Neural networks and machine learning strategies for the analysis of scattering data. Large amount of scattering data obtained in our group requires development of the advanced analysis techniques. In
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out whether the resulting products could influence the aroma of processed Brassica vegetables. Tasks include planning and conducting plant cultivation and food chemistry experiments chemical analysis
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analysis of mobility behavior, the application of agent-based models and road space analysis, particularly for road safety. Research on walking and cycling as a cross-cutting issue has a high priority in all
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quantitative data analysis (e.g., econometrics, statistics, machine learning) a high motivation and the ability to work independently with a strong team orientation excellent spoken and written English and the
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in economics, business studies, agricultural sciences with a focus in economics, or related disciplines Strong analytical and methodological skills with a focus on quantitative data analysis (e.g
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and implementing transport to Wettzell, installation, optimisation, operation, enhancement, measurement campaigns during the ACES mission, data analysis. The scientist will also contribute to enhance
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analysis of large data sets, statistical modeling, and knowledge of at least one programming language (e. g.: R, Python and/or Julia) are required. Experience in machine learning and image recognition
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Max-Planck-Institut für Kohlenforschung, Mülheim an der Ruhr | M lheim an der Ruhr, Nordrhein Westfalen | Germany | 2 months ago
diffraction) and data analysis (Rietveld, structure determination from X-ray powder data) Experience in planning and conducting complex experiments Excellent English language and communication skills Proactive
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approaches to efficient analysis of the vast data amounts generated in the scattering experiments. For more information, visit our web page: https://www.soft-matter.uni-tuebingen.de/ We are currently looking