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Max Planck Institute for Extraterrestrial Physics, Garching | Garching an der Alz, Bayern | Germany | 21 days ago
. The start date of the position is October 2026, with some flexibility (to be negotiated). The position is limited to three years and according to current German labor law. Applicants must have obtained a PhD
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experimental data. Publishing results in peer-reviewed journals and presentations at conferences. Supervise and support graduate and undergraduate students. Your Profile: Excellent PhD in materials science
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electron imaging integration of motion analysis in collaboration processing of images in preparation for image-based modelling Your profile PhD in physics, materials science, computer science, applied
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06.12.2021, Wissenschaftliches Personal The professorship of Data Science in Earth Observation is seeking six new PhD candidates/PostDocs for its new center for Machine Learning in Earth Observation
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solution approaches). Additionally, you will be involved and collect experience in supervision of PhD students, teaching, and further academic and administrative affairs of our professorship. Your profile
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in the institute Analysis and summarizing experimental results Presentation of experimental discoveries in scientific journals and international conferences Working in collaboration with PhD students
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and supervise PhD candidates and student assistants Contribute to project governance and represent the project in steering committee meetings Your profile: An outstanding doctoral degree (e.g., magna
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position is a PhD in physics, computer science, statistics, or a related field. The candidate should: Be interested in statistical inference and methods, with a focus on the Bayesian approach. Possess solid
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comparative perspective on urban studies. Required qualification: Eligible candidates must hold an outstanding PhD in Greek and/or Roman Archaeology This position (subproject A3) is part of a joint call for 9
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qualification: Eligible candidates must hold an outstanding PhD in Geosciences, Physical Geography, Environmental Sciences or related disciplines. Preconditions are a proven track record of applied geospatial and