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quantification and apply these methods to large-scale clinical cancer data? Are you looking for an employer that invests in sustainable employeeship and offers safe, favorable working conditions? We welcome you to
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The Max Planck ETH Center for Learning Systems (CLS) addresses cross-disciplinary research questions in the design and analysis of natural and man-made learning systems. The excellent engineering
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scale radar datasets with high quality labels remain scarce. In this PhD project, you will investigate foundation models for automotive imaging radar. The goal is to learn general radar representations
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to Canada’s blue bioeconomy through applied research that advances marine bioresource valorization, sustainable aquatic production systems, and the scale-up of marine bioproducts, while promoting environmental
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2025. Understanding hydrogen-material interactions at the atomic scale remains one of the most complex and urgent challenges in the transition to a hydrogen-based energy system. Since the first discovery
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is expected to be open to combine both positivist and non-positivist approaches under the supervision of Carolin Ischen and Gijs Schumacher, both specialized in large-scale quantitative analysis and
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tuned! Our call for PhD Applications is opening very soon!!! Previous Excellence Connects Us. 🫶 Being part of our International Max Planck Reserach School means more than a world-class, research-based
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measurable. This can be approached through empirical analysis of large-scale simulations, through new (semi-analytical) models that predict the impact of introducing these vehicle types, or a combination of
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where knowledge is created and where it is ultimately translated into technological and economic value. The project combines large-scale longitudinal data on PhD recipients with complementary sources
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of assessing microstructural homogeneity, which is increasingly important for product-scale electrolytes. The PhD candidate will join a dynamic, interdisciplinary research team working at the interface