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this role, please contact Dr. Jana Hoffmann at jana.hoffmann@senckenberg.de . For data protection information on the processing of personal data as part of the application and selection process, please
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the application and selection process, please refer to the privacy policy on our homepage at https://www.senckenberg.de/en/imprint/ . Please visit our website at www.senckenberg.de for further information about
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research experience and are explicitly encouraged (e.g. South America, Asia or Africa). The PhD process will be accompanied by integration into TUM’s School of Life Sciences or School of Management and
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such as the NEPS. Potential research areas include (but are not limited to): Item response modeling of achievement tests Analysis of process data (e.g., response times) to enhance competence measurements
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) representation (Research Field “Staging Enmity")and (3) physical encounters (Research Field “Enemy Contact”). Our research regions include Europe, Asia and the Middle East. The RTG Ambivalent Enmity targets
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privacy policy on collecting and processing personal data in the course of the application process pursuant to Art. 13 of the General Data Protection Regulation of the European Union (GDPR) at https
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by the DAAD in accordance with the Federal Data Protection Act and the EU Data Protection Regulation insofar as this data is needed to process the application. Contact and Consulting Information and
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to them. For this purpose, geometry-driven AI-based methods are to be researched and developed in order to be able to automatically generate the corresponding process steps and parameters using CAD design
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well as chemistry and physics-based applications (www.bucherlab.org). We are currently exploring two different directions with two open positions: 1) Surface NMR spectroscopy. Recently we have applied NV-centers
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stochastic differential equations based on the path signature of the driving process. We are looking for: The applicant should hold a completed PhD in Mathematics or nearby field (at the starting date