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The TUM School of Computation, Information and Technology at the Technical University of Munich (TUM) welcomes applications for a PhD or Postdoc Position (m/f/d, 100%, 2 years+) in Numerical Mathematics
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subject “Postdoc Application – [First and last name].” In your email, please include a short motivation letter less than 1 page, your CV including list of publications, a reference letter from your PhD
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Postdoc (f/m/d): Machine Learning for Materials Modeling / Completed university studies (PhD) in ...
learning models beyond the scope of machine learning interatomic potentials. Target applications include heterogeneous materials and nanoscale electronics. Your tasks # Data Generation:Generate datasets
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papers, lecture contributions, etc.) Active participation in academic self-governance, e.g., through co-supervision of Bachelor’s and Master’s theses Requirements – What you bring: Master’s or PhD degree
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for linking basic and applied research, located in central Tuebingen The opportunity to establish your own junior research group, including a newly created PhD position (75% E13 TV-L). The team will also
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Max Planck Institute for the Study of Crime, Security and Law, Freiburg | Freiburg im Breisgau, Baden W rttemberg | Germany | 24 days ago
results in law, in related humanities, or in the social sciences. Your PhD dissertation in English or German will have been awarded ”summa cum laude” or the highest grade in another grading system
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PhD thesis/dissertation, and (4) a concept for the planned research project to be hosted at Heidelberg University, Geographical Institute, by 15 April 2025 via email to the Managing Director/Secretary
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enjoys scientific discussion and interdisciplinary science. To be considered for this position, you must have a PhD in a field like physics and applied mathematics or a field related to one
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Postdoctoral Researcher as a Junior Research Group Leader (m/f/d) - Research on and Implementation o
newly created PhD position" (75% E13 TV-L). The team will also include a technical staff member responsible for maintaining the TüDiLab and assisting with empirical studies - A modern and well-equipped
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on two core but complementary areas: Computer vision and sensor data analysis, applied to tasks such as object detection in drone images (e.g., pest or disease detection), object tracking (e.g. leaves