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” (3DMM2O), which aims to establish scalable digital three-dimensional (3D) additive manufacturing across all scales from the molecular to the macroscopic range 3D acoustic particle manipulation complements
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Generation, digital double, human-like avatars. Profile PhD in Computer Vision Background in CS Research experience in gen AI, deep learning Strong computational and analytical skills, as well as experience
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litigation. This will involve defining specific research strategies in collaboration with the CLAIM team; collecting a corpus of publications and communication materials, particularly media and digital content
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(i) strong foundations in digital communications and statistical signal processing with (ii) hands-on implementation using reinforcement learning (including multi-agent RL), large language models (LLMs
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Postdoc (f/m/d) Methods Development for the Micromechanical Characterization and Modeling of the ...
-based modeling, digital screening approaches, or new experimental analysis methods. You'll join an interdisciplinary team of currently four PhD students, three postdocs (including this position), and four
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the future of digital construction? Do you have a strong interest in robotic fabrication and autonomous assembly? Would you like to contribute to an ambitious interdisciplinary research project
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Inria, the French national research institute for the digital sciences | Montbonnot Saint Martin, Rhone Alpes | France | about 2 months ago
31 Jul 2026 Job Information Organisation/Company Inria, the French national research institute for the digital sciences Research Field Computer science Researcher Profile Recognised Researcher (R2
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Helmholtz-Zentrum Dresden-Rossendorf - HZDR - Helmholtz Association | Dresden, Sachsen | Germany | about 2 months ago
projects across the MAP can draw on. We explicitly welcome your own methodological ideas and priorities — whether that means microstructure-based modeling, digital screening approaches, or new experimental
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for our research, with a strong focus on digital data and methods. The successful candidate is expected to benefit from and collaborate with other team members, including the PI and approximately ten
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strong focus on digital data and methods. The successful candidate is expected to benefit from and collaborate with other team members, including the PI and approximately ten other researchers (MSc and PhD