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Directed Energy Deposition (DED) process for metallic components. The PhD candidate will focus on edge computing and the application of AI for data analysis and for identifying correlations with ground truth
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mechanisms that underly the interpretation of literary texts. For the advertised PhD researcher position, this work involves the semantic and pragmatic analysis of utterances and texts relative to the central
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to evaluate. The main research question is how to automatically harmonize the retrieved information allowing a unique analysis and to map them against multiple user-tailored outputs. This is necessary as the
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. The student will perform ‘big data’ analysis of patient cohorts including time-based evaluation of the impact of introducing CT-FFR as a national health intervention into a healthcare system. Exploratory
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extended from cloud solutions (such as OpenLLMetry), the research question is how to identify anomalies in collected information that can come from multiple AI services either invoked manually by users or by
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Analysis, and (3) Stochastics and (4) Discrete Mathematics and Quantum Information. It also provides the lecturers and instructors for the mathematics teaching within the Science Faculty. The KdV Institute
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containing non-natural amino acids Binding efficiency, inhibition and selectivity tests Structure-based analysis of polyphillic interactions Presentation and publication of scientific data The opportunity
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equivalent to one full year of studies Contribute to teaching at the division of Environmental Systems Analysis The following requirements are mandatory: To qualify as a PhD student, you must have a Master's
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analyses by age, ethnicity, and index of multiple deprivation will be performed. The second stage of the study will involve the analysis of prospectively collected EQ-5D-5L data from a cohort of patients to
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acids Binding efficiency, inhibition and selectivity tests Structure-based analysis of polyphillic interactions Presentation and publication of scientific data The opportunity to obtain your own academic