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researchers Back Graduate Academy Doctorates at the University of Tübingen Funding and support for junior researchers Partner institutions Innovation Back Technology Transfer Office Startup Center Industry
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data • Design clinically meaningful benchmarks and robust evaluations • Publish at leading machine learning and medical AI venues • Collaborate with clinicians, computer scientists, and European partners
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foundation for upscaling the model to larger areas and directly inform the other work packages of the project. Specifically, tasks include: Designing and conducting experiments with mature temperate European
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Remuneration Act (further information can be found here ). An additional pension plan for public sector employees (VBL). 30 days of vacation per calendar year (based on a 5-day workweek) A diverse, future
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). For civil servants, remuneration is governed in particular by the provisions of the Bremen Civil Service Remuneration Act (further information can be found here ). An additional pension plan for public sector
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). For civil servants, remuneration is governed in particular by the provisions of the Bremen Civil Service Remuneration Act (further information can be found here). an additional pension plan (VBL) for public
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standards such as MII / FHIR Contributing to the design, implementation, and documentation of research prototypes Developing and evaluating methods for explainable, multimodal AI systems, particularly
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the distribution of Li within the anode as a function of process parameters and anode design. However, due to its low atomic number, Li cannot be detected with spatial resolution in electrodes using conventional
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communication systems for AI-driven applications. The objective is to investigate, design, and experimentally validate information-theoretically secure coding schemes tailored to the demanding requirements
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, test, and demonstrate resilience strategies that enhance ISAC system robustness against various types of jamming. You will design, implement, and analyze ISAC resilience strategies using advanced