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computational sub-team that includes computer scientists and computational PhD students, fostering an interactive environment of technical exchange, code review, mutual support, and collaborative problem-solving
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project involves interdisciplinary research at the interface of computer science and mathematics, with a focus on bivariate molecular machine learning for modeling molecular interactions and properties
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interfacing with biology. Postdoctoral Researcher in Cellular Biology • PhD in cellular biology, molecular biology, or related fields. • Experience in cell culture and cellular imaging. • Experience in protein
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Inria, the French national research institute for the digital sciences | Villers les Nancy, Lorraine | France | 15 days ago
the Agence Innovation Defense (AID) to leverage artificial intelligence in robotic teleoperation. Within this project, an objective is to develop a generic graphical and physical interface that combines
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-Based Healthcare https://www.aicentre.co.uk About the Role This post will support the development and early implementation of an NHS-ready, AI-assisted CMR reporting interface (edgeCMR). The role is
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of results at conferences - interaction with team members and international collaborators The Machine Learning for Integrative Genomics team (https://research.pasteur.fr/en/team/machine-learning
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for regenerative repair strategies. The successful candidate will work at the interface of tendon biology and tissue engineering, employing genetic mouse models and advanced experimental approaches. We are looking
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. The project also explores human or automated UAM management interaction with multiple UAVs, providing an immersive spatial interface (XR: AR/VR) to plan missions, monitor operations, and manage UAV swarms
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Network. https://www.eu4greenfielddata.eu/ ***Double Degree PhD Scholarship in Computer Science Opportunity: "Optimization-simulation coupling for the GHG emission estimation based supervision and
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team (https://research.pasteur.fr/en/team/machine-learning-for-integrative - genomics/) at Institut Pasteur, led by Laura Cantini, works at the interface of machine learning and biology (tools developed