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Field
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and advancing techniques such as machine learning, graph-based network analysis, and synthetic data generation, the project tackles key challenges in anomaly detection, transaction classification, and
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obtained the degree or equivalent by the DC start date. In order to be recruited to the network as a doctoral candidate, applicants must not already be in possession of a doctoral degree (i.e. a Ph.D. degree
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Networks in order to handle non-linear relationships between covariates and response variables. To this aim, the PhD student will join a consortium of researchers issued from different disciplines with a
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types of communication on social media and how that affects polarization. You will use an innovative multimethod quantitative approach, such as longitudinal survey research, (automated) content analysis
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scientific and social impact. This project proposes a diachronic analysis of menus and the symbolic dimensions of social dining, from the literary Decadence of the late 19th century to the Futurist avant-garde
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of the facilities required to develop this PhD project: bacterial culture, rheology, surface charge measurements (zeta potential), thermal analysis, X-ray diffraction (XRD), infrared spectroscopy, mechanical behavior
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the PhD student in high-performance computing, computer programming, applied mathematics, fluid mechanics, mathematical modelling and data analysis for large datasets -of the order of 100 Terabytes
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the NGF-Call AiNed ELSA Labs). The ELSA4TI Lab is led by Prof Ming Cao, Director of the Jantina Tammes School of Digital Society, Technology and AI. ELSA4TI focuses on the ethical, legal, social and
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PhD scholarship in Runtime Multimodal Multiplayer Virtual Learning Environment (VLE) - DTU Construct
part of the Marie Skłodowska-Curie Doctoral Network called ‘NATECH Risk management and Resilience of High-TECH industries and Critical infrastructures across EUrope’ (REUNATECH). A short description of
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), Deep Neural Networks. Probabilistic Machine Learning and Time-series Analysis. Industrial applications of AI (energy, process industry, automation). Software development experience in teams. Programming