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Field
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. Empa is a research institution of the ETH Domain. In our research group, we design mechanically robust, multi-responsive polyurethane elastomer with backbone-integrated molecular switches. Our aim is to
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to design compact, cost-effective and robust multi-optics imaging systems (i.e. combining multiple optical channels onto a single sensor) which can address these issues. The goal is to create a flexible
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₂ reduction, aimed at producing hydrogen as an energy carrier and value-added chemicals such as CO and formic acid (HCOOH), requires efficient, selective, and robust catalysts. These catalysts must operate
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states and ageing mechanisms. Emphasis will be placed on balancing model fidelity, computational efficiency, and robustness under varying operating conditions. The outcomes will support next-generation BMS
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, as well as learn how to perform robust in silico analysis of data (training will be provided by senior lab members, collaborators, or experts in the Institute core facilities). The candidate will
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– Robustness of dehydration detection: Examine the consistency of saliva-based dehydration detection across different dehydration models and participant cohorts, including sport and occupational settings
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sufficiently robust, the experimental system may be progressively developed to explore more complex geometries, time-varying volume changes and increasingly physiologically representative cardiovascular models
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which technology and research fields are advancing. Furthermore, you will also extend the indicator beyond novelty toward quality assessment and validate the reliability, robustness, and fairness of LLM
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, annotators, and underlying neural architectures. The ultimate goal is to produce argument mining tools that are more robust, generalizable, and fair, applicable to sensitive domains such as the analysis
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typical reading development and children with reading problems or disorders, eye-tracking, rapid frequency tagging, multivariate analysis, time-frequency analysis, source modelling and robust quality