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quantitative imaging, stem cell biology, genomics and proteomics, we seek to understand how cells build robust genome maintenance programmes capable of supporting life from single dividing cells to complex
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into valuable aromatics and specialty chemicals. In this project, you will design and study catalytic processes that upgrade complex phenolic mixtures into targeted products using advanced bifunctional catalysts
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discoveries of today. At locations in Berlin-Buch, Berlin-Mitte, Heidelberg and Mannheim, our researchers harness interdisciplinary collaboration to decipher the complexities of disease at the systems level
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to explain the observed matter-antimatter asymmetry in the universe. The SM is therefore likely a low-energy limit of a more complex theory, and the Higgs field is one of the most useful tools for determining
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vehicles and achieving net-zero targets, but they degrade over time, reducing performance and safety. A key issue is gas generation, which causes internal pressure build-up and can lead to cell failure, but
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higher degree of complexity in materials, geometries, and length scales. As a result, the design of such systems has become quite a challenge. This becomes even more challenging when considering
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candidate possesses: A Master’s degree in Environmental Economics, Psychology, Complex Systems, Engineering & Policy Analysis, or a related field; Experience with data analysis and statistical methods; A
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-centric AI and explainable decision-making? Are you intrigued by the role of human expertise in complex optimization? This PhD position focuses on bringing humans into the loop of optimization processes
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The International Institute of Molecular Mechanisms and Machines Polish Academy of Sciences | Poland | about 2 months ago
CtBP-mediated transcriptional repression and reorganizes transcriptional corepressor complexes. By integrating molecular biology, cell biology, quantitative microscopy, biochemistry, proteomics, and
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the development and application of nonlinear dynamical systems methods for complex physical problems known only from data. The objective is to provide efficient, theoretically sound, fast, and directly