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today. This is an opportunity to apply for a Postdoctoral Researcher post in Face Lab, relating to a craniofacial project and the application of dental data to the creation of a 3D digital avatar. You
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to join the interdisciplinary SNSF-funded research project "Digital Originals in 3D" (D2M). This innovative project is a collaboration between the University of Basel, the Bern University of the Arts, and
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developing cutting-edge interactive software tools that can be applied to diverse types of biomolecular data, including atomic-resolution coordinates, 3D density maps and light microscopy data, and protein and
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Austrian Academy of Sciences, the Austrian Archaeological Institute OeAI | Austria | about 1 month ago
based in the research group “Historical Building Research” (Head G. Styhler-Aydın) of the Department of Historical Archaeology (see https://www.oeaw.ac.at/en/oeai/research/historical-archaeology
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candidate will join the team employing collaborative robots and AI in materials design. Where to apply Website https://jobs.materials.imdea.org/apply/form?id=95310 Requirements Specific Requirements Ideal
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applicable work methods. Full proficiency in the use of makerspace equipment including 3D printers, laser cutters, and other fabrication equipment. Demonstrated problem-solving and research skills to address
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. This project aims to overcome that limitation by extending our high-throughput metabolic fingerprinting platform into 3D cancer models such as spheroids and organoids. By combining untargeted metabolomics, high
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avancées des casques de réalité étendue permettent d'intégrer des éléments 3D dans l'environnement réel (e.g., avatar en 3D) et mettent à disposition une multitude de capteurs (e.g., centrale inertielle, eye
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Skip to Main Content Press Control+M to start dragging object ptnbsid=YUYhfytPt8uMLAD3Rz%2bgFyJEmqY%3d Back Accessibility Enable Screen Reader Mode Keyboard Shortcuts Accessibility Help Job
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and implement multimodal retrieval with re-rankers for robust profile selection. Design and train advanced AI models for digital twin: 3D model learning, prediction models from imaging and molecular