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Max Planck Institute for Dynamics of Complex Technical Systems, Magdeburg | Magdeburg, Sachsen Anhalt | Germany | 2 months ago
, or process engineering, physics, chemistry, or related disciplines with grades above average, have a strong interest in theoretical and numerical work, have strong communication skills and motivation
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to apply Website https://www.academictransfer.com/en/jobs/364001/phd-student-cerebellar-morpholo… Requirements Specific Requirements What you will be contributing We are looking for a researcher that a vivid
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under supervision, including development of the PhD student's methodological, theoretical, analytical, writing, and presentation skills. The PhD student will utilise a range of methods including
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education, work, family, physical and mental health, and public policy experiences. How do gendered life experiences in these domains generate political-democratic gender gaps, seen for example in political
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lubrication signals) and the working status. Duties The PhD student is expected to perform both experimental and theoretical work within research studies as well as communicate the results at national and
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, by building on methodological and theoretical frameworks from computer science, psychology, and area studies. The lab has a strong cross-cultural focus, collecting data and conducting experiments in
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-supervised by Prof. Nicolas W. Jager at TU Berlin. For more information on the project, see https://sustainability-governance.net/2026/06/29/erc-advanced-grant-gap… . Location Leuphana University Lüneburg is a
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Max Planck Institute for the Physics of Complex Systems • | Dresden, Sachsen | Germany | about 2 months ago
, the scope of the graduate school extends to various related topics in theoretical and computational chemistry and both theoretical and experimental condensed matter physics. We are looking for highly
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into different stages of optimization, both as priors and as feedback after optimization outcomes. Information This PhD project is a part of the CoRDS project – Confident Data-Driven Decision Support (https
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Engineering, Informatics, Information Systems, or a closely related discipline. A strong theoretical and practical foundation in machine learning is essential, encompassing both the underlying principles