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bulk to confinement on crystallization dynamics of mixed salts under various climatic conditions, focusing on special ion mixtures common in weathered stone. Performing systematic studies in
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Employment 1.0 FTE Gross monthly salary € 3,059 - € 3,881 Required background Research University Degree Organizational unit Faculty of Arts Application deadline 01 May 2026 Apply now Interested in
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verifiable, data-driven post-mortem analyses of agricultural disasters. Your duties and responsibilities include: Conduct research on state-of-the-art Causal Machine Learning for the Earth Sciences
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will: Perform physicochemical characterisation and optimisation of biomaterials, including surface modification and mRNA binding strategies Design and evaluate mRNA loading strategies and release
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team as a PhD candidate to work on beyond the state-of-the-art model distillation and robustness methods, enabling efficient, reliable inference for challenging real-world problems in the semiconductor
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, with an extension for the following 32 months, contingent on a positive performance evaluation within the first 12 months. The preferred starting date is 1 September 2026; Based on a full-time
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state-of-the-art econometric methods such as staggered difference-in-differences, regression discontinuity designs, and causal forest–based identification strategies. The position is open for candidates
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nanolab cleanroom to realize these designs. You will use state of the art microscopy methods to map the performance of your structures, moving to progressively more advanced prototypes. This project is
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performing state-of -the art atomic physics experiments and developing quantum technology. We will develop a new platform for quantum computing, based on qudits encoded in 173Yb+ ions. Yb+ ions are used in
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. Opportunity to perform creative and state-of-the-art research in the field of immunology. Work in a mid-sized team on collaborative and independent projects with highly motivated colleagues. Participation in