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(embryonic) tissues. These techniques enable non-invasive, bio-friendly manipulation of cells and their surrounding matrix, allowing investigation of how physical forces and ECM properties drive tissue
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available in the further tabs (e.g. “Application requirements”). Programme Description International students from all subjects (except the medical disciplines) who have been admitted to a doctoral programme
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for Clinical Brain Research, German Centre for Neurodegenerative Diseases, Bernstein Centre for Computational Neuroscience, Centre for Mental Health, Centre for Neurosensory Systems, Natural & Medical Sciences
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to a two-year master's degree. Ideally, your master’s degree is in chemistry, physics, or material science engineering and strong experimental experience in electrochemical energy storage and have
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analytical imaging methods, then working with collaborators to apply these methods to biomedical research, diagnostic imaging and beyond. Research projects vary from purely theoretical, to computational
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Verification Tools: Develop AI algorithms that automate the verification process, ensuring systems meet required safety and performance standards. Health Monitoring Algorithms: Implement AI-based monitoring
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CSIRO IPhD Scholarship - Investigating the interactions between sulfide minerals and in-situ recovery fluids for sustainable copper mining The CSIRO Industry PhD Program (iPhD) is a four-year
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computer science, mechanical engineering, or aerospace engineering. You should have programming experience applied to physics/engineering problems and/or experience with machine learning and ML. The University
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either English or German. Some additional courses may be in German. Some events, such as internal lab meetings, etc., may also be in German. Programme duration 6 semesters Beginning Only for doctoral
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“Stability and Solvability in Deep Learning”. This project focuses on mathematically analyzing machine learning algorithms with a particular focus on questions of stability, computability, and robustness