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use numerical models to interpret and predict mechanical behavior. - Carry out a cross-analysis of experimental, microstructural, and numerical results. - Disseminate scientific results (publications
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generalization. Your work will include: Developing methods for detecting the authenticity and origin of speech and audio content generated by multiple models and containing different watermarking methods. Creating
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role will consist of integrating evapotranspiration products derived from satellite thermal imagery into an FAO-56 modeling process, with the goal of improving the accuracy of irrigation recommendations
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ABOUT GHENT UNIVERSITY PhD Researcher on Resource efficient robotic world models Ghent University is a world of its own. Employing more than 15.000 people, it is actively involved in education and
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, the European Research Infrastructure for Modelling Human Diseases, is a non-profit organization dedicated to advancing disease understanding and treatment through cutting-edge models. Operated by a network of
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spreading” and 2.3 “Higher-order evolutionary processes”), aims to develop theoretical and computational models for the study of dynamical processes on networks with higher-order interactions. By employing
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Is the Job related to staff position within a Research Infrastructure? No Offer Description Public selection for n.1 post doctoral fellow position in "Formal modeling and verification of security and
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Deutsches Zentrum für Neurodegenerative Erkrankungen | Magdeburg, Sachsen Anhalt | Germany | 5 days ago
models to detect, monitor, and predict subtle cognitive impairment and future change Supporting ongoing data collection in local and national research cohorts, including monitoring
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“DebiasSING: Finding and Fixing Biases in the Human-AI Complex”, the co-PIs aim to address biases in large language models and its interaction with potentially biased human users, which is an urgent and dynamic
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ALMA MATER STUDIORUM - UNIVERSITA' DI BOLOGNA - - DIPARTIMENTO DI SCIENZE ECONOMICHE | Italy | 10 days ago
of the research scope, geographical contexts, and relevant data sources; 2. Design of the data model and variable dictionary; 3. Manual and automated data collection and development of the associated data pipelines