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expertise in structural studies of thin-film materials using transmission electron microscopy. The team is also developing original methods for polymer orientation using high-temperature mechanical brushing
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are looking for a talented and motivated PhD Candidate who cares about journalism and documentary-making, has an experience with qualitative research methods, and wants to investigate the emotional and bodily
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interest in expanding their knowledge in both domains. (1) Geometry/Topology -related methods in computer science. (2) Machine Learning. (For example, graph neural networks, generative networks, or neural
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approach is a method that is both formally rigorous and practically efficient for the verification/validation of quantum devices. Candidate’s profile Knowledge of quantum computing and an understanding
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The Chair of Non-Destructive Testing (www.zfp.tum.de) is devoted to research and teaching in the field of material characterization using non-destructive testing methods. The focus of the chair includes
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synergies between methods and ideas of modern machine learning and of statistical mechanics for the study of stochastic dynamics with application to the analysis of time series. In particular, the project
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title: InSEPSia: Innovative methods for early diagnosis of sepsis based on multiparametric biomarker analysis. Project description: The research involves the search for a diagnostic test for sepsis. Early
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Research Assistant I. Research focuses on advanced surface engineering and laser-based manufacturing methods, with particular emphasis on the laser peening and laser machining. The goal of the project is to
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housing provider responses (e.g. building repairs and household support)? This research question could be addressed quantitatively, qualitatively or with a mix of methods. Secondary research questions
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effort with the University of Groningen, Tilburg University, and industry partners. The aim is to evaluate all ELSA elements in technical industry and advise firms on responsible, strategic AI use. Using