260 phd-studenship-in-computer-vision-and-machine-learning Postdoctoral positions in Sweden
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Programme? Not funded by a EU programme Is the Job related to staff position within a Research Infrastructure? No Offer Description Job description A central challenge in machine learning is ensuring
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, computer science or similar. A successful candidate should have deep and broad knowledge and experience in machine learning and related areas with a proven academic track record. Publications in leading AI/ML
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, TensorFlow, JAX). Demonstrated ability to work in interdisciplinary teams bridging machine learning, neuroscience, and chemistry. Excellent communicative skills and Collaborative abilities Motivation and
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/department-of-computing-science/ Project description and working tasks The project will develop privacy-aware machine learning (ML) models. We focus on data-driven models for complex and temporal data
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Hoppa direkt till innehållet Internt tekniskt fel Något gick tyvärr fel under hämtningen av sidan. Den här typen av fel brukar vara tillfälligt, så försök gärna igen om en stund. Du kan också försöka gå till Startsidan Internal server error We're sorry, something went wrong when we tried to...
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description and working tasks The project will develop privacy-aware machine learning (ML) models. We focus on data-driven models for complex and temporal data, including those built from synthetic sources
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), research is carried out in computer vision, robotics and machine learning. We are now looking for two postdocs in robotics and machine learning and computer vision. The successful candidates is expected
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candidate with an interest in the application of machine learning to optics, touching upon aspects of computational electromagnetism and inverse design. Information about the project and division Structured
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the application of machine learning to optics, touching upon aspects of computational electromagnetism and inverse design. Information about the project and division Structured optical materials, such as
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-disciplinary research at the intersection of artificial intelligence, robotics, machine learning, and human-robot interaction. Subject area The subject area for this position is Computer Science. Background