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craniofacial project and the application of dental data to the creation of a 3D digital avatar. You will require a 3D animation, computer science and/or anatomical modelling background. A knowledge of dental
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for Postdoctoral Researchers as part of the ERC-funded project ‘Emotions and bodies in fact-based media production: Integrating affective and embodied knowledge into journalism and documentary filmmaking’, led by Dr
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oriented toward a small set of countries varying on political descriptive representation of gender, class, and ethnic minorities. The preliminary selection includes Denmark and Germany, with openness to
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representations of the state. The team consists of the Principal Investigator (PI), two postdoctoral researchers, a PhD researcher, a project manager, and local research assistants. The quantitative postdoctoral
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Polytechnique de Paris. The group conducts research at the intersection of statistical learning, machine learning, and data science, with a strong focus on structured data, representation learning, and
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3D animation, computer science and/or anatomical modelling background. A knowledge of dental data and 3D visualisation is desirable. Face Lab, led by Professor Caroline Wilkinson, is an award-winning
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Postdoctoral Researcher in Natural Language Processing and Digital Humanities (18 months, full-time)
embedding models, and construct semantic and network-based representations of key concepts. A central challenge — and opportunity — of the project is working with non-standardized, historically layered, and
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of Robotics and Industrial Informatics (CSIC-UPC) offer a position to work on World Models for Human Behaviour Anticipation https://ramonllull-aira.eu/archivos/theme_field/world-models-for-human-behaviour
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research area MERGE (https://www.merge.lu.se ), focused on climate modelling. Aerosol research has been conducted at Lund since the 1970s and is now a designated profile area at LTH (https://www.lth.se
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transferable and interpretable models for tabular data, efficient learning paradigms for medical imaging, and causally grounded and identifiable representation learning. You will have great freedom to influence