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inference), and automated machine learning. holding (or close to acquiring) a PhD degree in Computer Science, Artificial Intelligence or a closely related field; strong research vision and an academic
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for Diversity, Equity, and Inclusion (DEI Center) webpage: https://dei.tohoku.ac.jp/vision/consulting/for_minority/ Childcare facilities available to all faculty and staff include Kawauchi Keyaki
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CFM-Centro de Física de Materiales/MPC-Materials Physics Center | Donostia-San Sebastian, Pais Vasco | Spain | 2 months ago
21 Aug 2026 Job Information Organisation/Company CFM-Centro de Física de Materiales/MPC-Materials Physics Center Research Field Other Researcher Profile Recognised Researcher (R2) Leading Researcher
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computing in computer vision, autonomous control, data processing in mobile devices, and scientific data analysis. Your Job Latent reasoning is a versatile and powerful method for problem solving where
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paper in a top-tier conference such as CVPR, ICCV, NeurIPS, or ICML. The specialist will be responsible for designing and implementing state-of-the-art computer vision and generative modeling algorithms
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programme Is the Job related to staff position within a Research Infrastructure? No Offer Description Description The Laboratory for Computer-Human Intelligence (CHI-lab, https://www.x-labs.xyz ) in the
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protein structure and protein interaction networks; AI-based modeling of cell morphology and tissue function using imaging and computer vision; AI models of disease and digital twin applications. We
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development of novel volumetric representations and computational imaging methods for paired visible-light and X-ray images, as well as extending computer vision techniques from the visible-light RGB
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Group Leader and Professor AI in Biology - Dept of Computer Science and Dept. Electrical Engineering
Group Leader and Professor AI in Biology - Dept of Computer Science and Dept. Electrical Engineering Leuven VIB Center for AI & Computational Biology Group Leader / PI Posted Date 12 Oct 2026
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https://liacs.leidenuniv.nl/ What you bring Ph.D. degree in computer science, acoustics, signal processing, or a related field; Good publication record in ML, and/or computational methods for audio data