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About the project The Research Training Group (RTG) 2988 "Flexibility and Balance as Characteristics of Adaptive Self-Regulation" is looking for seven PhD students from different areas of Psychology
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. Research at the DKFZ is organized into the following programs with a lot of interaction and interdisciplinary PhD projects available across different topics: For more information about the groups and their
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Hochstenbach. This project is funded through a Vidi-grant from NWO, the Dutch Research Council. The DWELLWELL project will involve two PhD-candidates working with different methods on different research
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that there will be collaboration with different stakeholders in industry and regulators during the project, and the candidate can expect a stay abroad during the PhD project. The PhD student will be a part of the
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for both fundamental physics and applications. The aim of the project is to quantify the ability of novel detectors to distinguish different sources of neutrons. The project will involve extensive field-work
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The Research Training Group (RTG) 2988 "Flexibility and Balance as Characteristics of Adaptive Self-Regulation" is looking for seven PhD students from different areas of psychology. The expected start date is
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of mathematics, physics, electrical engineering and AI, helping to develop a theory that explains how and why these systems work — and how to design better ones. Why apply for this PhD? Work on the next-generation
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effect on bulk functionality. In this PhD project, we dig deeper to obtain a better molecular understanding of the effects from different extraction methods. To accommodate this, we will explore protein
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, we need an imaging scheme that captures relevant features at different length scales and integrates them into a single reconstruction volume. This PhD project focuses on learning-based phase retrieval
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different tasks and physical platforms, ensuring consistent performance in unseen real-world scenarios. Where to apply Website https://phd.fbk.eu/calls/detail/generalization-in-vision-language-action-models