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Field
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Rotterdam offers two fully funded PhD positions to study the aging brain through innovative cognitive neuroscience experiments and AI-based methods. Job description The Brain & Cognition Team at Erasmus
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multidisciplinary methodological design and includes qualitative (e.g., fieldwork including in-depth interviews, focus group discussions) and quantitative (e.g., content analysis, surveys, experiments) methods
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methods for the automated creation of high-quality specifications. Exploring ways to transform elicited requirements into precise specifications for generative AI. Experimenting with tuning and adapting
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doctoral programme is designed to train world-class researchers in Strategic Management and Entrepreneurship, with a strong emphasis on quantitative methods. We combine in-depth knowledge of key topics in
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of potential educational interventions. Investigating the impact of generative AI on both the processes of reading and the methods of reading instruction. Your primary focus will be to conduct original data
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where trustworthiness is essential. Today’s explainability methods often do not provide meaningful decision support and, in some cases, can even leak sensitive training data. Models are especially
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specifications and generative AI-based code generation. Designing and evaluating methods for the automated creation of high-quality specifications. Exploring ways to transform elicited requirements into precise
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primarily empirical, with a focus on applying modern micro-econometric methods to large scale datasets such as administrative data. The exact topic will be chosen in coordination between the successful
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of silicon with only preliminary exploration of in-SEM scratching. Building upon the preliminary in-situ SEM scratch exploration, the following extensions and improvements need to be made: Develop a method to
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Erasmus MC (University Medical Center Rotterdam); Published yesterday | Netherlands | about 1 month ago
advanced psychometric methods such as Item Response Theory. Providing recommendations to ensure EORTC’s quality-of-life measures optimally serve regulators, payers, and clinicians for labeling, reimbursement