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. Philipp Petersen, M.Sc.. The research areas developed by the team are in particular related to theoretical analysis of classical problems in numerical analysis in the framework of modern algorithms
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communication science or related disciplines such as psychology or medicine/public health Very good knowledge of social science quantitative research methods, especially experiments, content analysis and surveys
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team led by Univ. Prof. Olga Mula. Our group’s work sits at the forefront of numerical analysis for Partial Differential Equations, enriched with data-driven methodologies -- a powerful combination
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team led by Univ. Prof. Olga Mula. Our group’s work sits at the forefront of numerical analysis for Partial Differential Equations, enriched with data-driven methodologies -- a powerful combination
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and humanities. A key component of these programs is instruction in modern Chinese. The position is advertised as full-time, but part-time employment (20 hours/week) is also possible. Please indicate
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water in the atmosphere during extreme meteorological events; climatological analyses of air/heat/water transport using an existing Lagrangian re-analysis; development of a new Lagrangian re-analysis
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period of 4 years if we can factor in professional experience. Equal opportunities for all: We welcome every additional/new personality to the team! It is that easy to apply: Via our job portal/ Apply now
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knowledge of statistics (R) Experience with multiverse analysis and open science practices Experience in the measurement and evaluation of eye tracking data is desirable Experience with physiological data
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to be filled as soon as possible. The WST research group focuses on research in process mining, which revolves around the data-driven analysis of organizational processes. At WST, we offer an excellent
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the characterization and analysis of porous materials An excellent background in X-ray diffraction, electron diffraction, electron microscopy and related analytical techniques Open to learn new analytical tools, like