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Field
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computational models generate hypotheses and, with the help of partner labs, validate them in controlled systems. The end goal is a mechanistic and clinically relevant map of how CIN shapes cancer behavior and
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and robustness of defenses and mitigations for AI systems, reverse engineering AI systems and models, and identifying new areas where security research is needed. We participate in communities
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January 2026 (6pm CET). The deadline for referees to submit reference letters is 14 January 2026 (6pm CET). Please check our website https://www.molgen.mpg.de/IMPRS/application for more details. Tuition
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beneath solar panels. Analyse the technical and economic potential of agrivoltaics, including land use and business models. Study implications for mechanization, harvesting practices, and alignment with
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Neuroscience uses theoretical approaches from this broad range of disciplines to integrate experiment, data analysis and modelling in order to understand the brain. Furthermore, it makes a scientific language
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for those in the form of technical drawings stored in different file formats (e.g. TIFF, PDFs). In addition, more complex models such as 3D representations of products along with their simulation results (e.g
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from vascular lesions and blood, combined with genetic, clinical/epidemiological and imaging parameters from patients. We also perform in depth functional studies in animal and cell culture models
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25th February 2026 Languages English English English The Department of Materials Science and Engineering has a vacancy for a PhD Candidate in machine learning and large language models (LLMs
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supply. As a candidate, you will research and develop advanced AI methodologies, such as fine-tuning Large Language Models (LLMs), to revolutionize decision-making processes for renewable energy production
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standardization efforts. The emphasis is on mathematical modeling and quantitative indices, system-theoretic reasoning, and formal framework development rather than application-specific implementation. You will