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methods, R (environment for statistical computing and graphics), 3D modeling; - At least three published or accepted papers in international, peer-reviewed journals in the field of paleontology
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of multimodal communication. To do so, you will have full access to motion-capture and virtual-reality labs, 3D animation tools, and GPU-based high-performance computing at MPI. You will also be embedded in a
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/ Deep Learning (particularly Computer Vision or 3D perception) Verification & Validation (V&V) of advanced algorithms, software or systems Formal Methods Safety Engineering / Safety-Critical Systems
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enhance human-computer interaction and improve our understanding of multimodal communication. To do so, you will have full access to motion-capture and virtual-reality labs, 3D animation tools, and GPU
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working at the intersection of computer vision, and 3D AI for the built environment. Our goal is to transform how physical environments and infrastructure are captured, analyzed, and monitored using
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analyses); ability to create visualizations of research data (maps, 3D models, graphic presentations); experience in conducting advanced data analyses in archaeology; experience in documenting different
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, Computational Art, Digital Media, Game Design or Music Technology). Strong expertise in games engines (e.g., Unity, Unreal Engine) or immersive application frameworks. Experience with 3D rendering, procedural
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BioEngineering Experience with fluidics devices, 3D printed devices, 3D cell culture models and bioinformatics/computational biology (e.g., R, Python) is an asset Team player Proficient knowledge in English is
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character. The Faculty of Science, Technology and Medicine (FSTM) at the University of Luxembourg contributes multidisciplinary expertise in the fields of Mathematics, Physics, Engineering, Computer
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years practical software engineering experience • Practical experience with computer vision, ML, or 3D scene understanding • Ability to work collaboratively across technical teams • US Citizen or