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interdisciplinary. How to apply Please send: A cover letter describing your research interests in graph drawing, network visualization, and/or information visualization Your CV Your Master’s thesis Academic
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in-situ experimental data to the landscape scale. Doing so, you will address questions of climate change impacts on meteorological extremes, phenology of selected forest tree and animal species and
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15.09.2025, Wissenschaftliches Personal The Chair of Marketing Analytics, which is part of the Heilbronn Data Science Center and the TUM School of Management at the TUM Campus Heilbronn, is seeking
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the testing of newly devel-oped materials and the use of machine learning methods to process complex data sets. The focus is on techniques such as ultrasound, radar, computed tomography, acoustic emission
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output. More information about the group is available at www.ep.mgt.tum.de/pur Application Please send a cover letter that explains how this position fits with your experiences and goals, your curriculum
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PhD Position in Theoretical Algorithms or Graph and Network Visualization - Promotionsstelle (m/w/d)
. The group’s work in this area has led to best paper awards at PacificVis and Graph Drawing, with recent publications in IEEE Transactions on Visualization and Computer Graphics and Computer Graphics Forum
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, studying health-related (mis-)information on social media and its impact on young adults. The position includes international research collaboration, methodological training, and a supportive work
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11.11.2024, Wissenschaftliches Personal In the project “BIG-ROHU” (BIG Data - Rotor Health and Usage Monitoring), a system is being developed which provides information on both the health and the
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in Life Sciences or in Computational Biology • Experience in flow cytometry, cell culture and in high-dimensional single-cell data analysis and programming skills are a plus • Organizational skills and
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, environmental or natural resource economics) or related disciplines strong analytical (i.e. microeconomics, production or resource economics) and methodological skills with a focus on quantitative data analysis