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this initiative, 15 early-stage doctoral candidates (DCs) will be trained through a comprehensive, interdisciplinary program spanning material science, device physics, computer architecture, hardware prototyping
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this initiative, 15 early-stage doctoral candidates (DCs) will be trained through a comprehensive, interdisciplinary program spanning material science, device physics, computer architecture, hardware prototyping
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Master’s degree in Data Science, Artificial Intelligence, Computational Linguistics, Computer Science. Has excellent academic writing and oral skills in English. Has experience with large language models
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to develop intensified processes for CO2 conversion into sustainable synthetic fuels via cobalt-catalysed Fischer-Tropsch Synthesis (FTS), based on advanced catalysis and reactor engineering concepts
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Archaeological Collections Within the Third Science Revolution Reconceptualizing Research Methodologies in Heritage and Collection Studies Candidates from diverse backgrounds—including heritage studies, museum
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format (e.g. a practice-based piece with a reflective text). Contact information of two academic referees: Please provide the full names, institutional affiliations (if applicable), and email addresses
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and Regional Research (NETHUR). Attend and present ongoing research at conferences, colloquia, summer/winter schools. Provide education to students of the Faculty of Spatial Sciences (up to a maximum of