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feedback, and enable independent practice outside conventional instructor-led settings and without audio/video/data connectivity. The selected candidate will join a collaborative environment involving
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reconstruction Develop methods for behavior understanding from multi-view video and audio recordings Advance multimodal large language models for fine-grained action understanding and reasoning Help shape the next
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. Experience with computational solid mechanics, computational soft tissue mechanics, or a closely related mechanics field. Well-developed coding expertise in Python, Julia, C++, Fortran, or a similar scientific
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members of the centre contribute to the general activities and collaborations within RITMO. The researchers have access to state-of-the-art facilities in sound/video recording, motion capture, eye tracking
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. In addition, the period may be extended by the number of months of a childcare leave granted pursuant to the Labour Code and in the case of women, by 18 months for every child born or adopted
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team to translate methods to clinical research studies and analyze imaging data. Disseminate findings through peer-reviewed manuscripts, conference presentations, open/reproducible code, and the
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to redefine how machines interpret human actions, anticipate intentions, and interact seamlessly with people in various settings. The successful candidate will be developing new methods for Real-time Video
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contributions. Demonstrated experience implementing, training, evaluating, or fine-tuning modern machine learning models. Strong programming skills in Python and experience building and maintaining research code
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(Efstratios) Gavves, part of VISLab (Video & Image Sense Lab ) at the Informatics Institute (IvI), Faculty of Science, University of Amsterdam. CyPhai pursues a single north star: algorithms that understand
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difference operators, our focus will be on a Fourier-space description of spatially periodic velocity fields, taking direct inspiration from Fourier pseudo-spectral methods used in standard DNS codes