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? No Offer Description Segmentation of scenes and shots for multimedia content monitoring and analysis using artificial intelligence and deep learning techniques, including transition detection, key
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Praha 120 00, Czechia [map ] Subject Areas: Statistics, data analysis, information theory, machine learning, deep learning, and data science Appl Deadline: 2026/04/16 04:59 AM UnitedKingdomTime (posted
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of, or willingness to learn, the complexities of the University environment, including the differing governance and risk considerations for research and enterprise data. Foundational knowledge of cyber security
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Mathematics, or a related field A strong background in image/signal processing, particularly in computer vision. Strong programming skills and experience with at least one deep learning framework e.g
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the design of antibody modalities Documented experience from cancer-related research Documented research experience in AI/machine learning/deep learning Documented experience in the development of therapies
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Snowflake data platform. This role requires deep expertise in Snowflake's core capabilities-including data modeling, performance tuning, ELT pipelines, security controls, and orchestration-while also
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. The researcher will develop novel research that applies advanced data science, machine learning and deep learning to various different data modalities. An ambition of this team is to implement predictive modelling
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learning, and deep learning applied to biomedical research and medicine. • Experience in biology or biomedical research projects. • Experience with Linux, R, and Pandas. • System and server administration
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across both surface and subsurface layers. This includes constructing robust feature extraction pipelines, attention-based fusion architectures, and deep learning models that accurately characterize cracks
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complex interaction patterns that may carry important biological information. By integrating deep learning, genome-wide simulations, functional genomics, and large-scale biobank data, AI:GENOMIX aims