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!), used in future quantum computer or spatial radio astronomy applications This internship provides an opportunity to improve our understanding of reliability physics at cryogenic temperature, and to offer
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) statistical analysis, geospatial analysis, textual analysis, automated content analysis, natural language processing, computer vision, remote sensing/satellite imagery, social network analysis, social
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mathematics, or a closely related field. Relevant experience may include one or more of the following: machine learning, deep learning, or generative modelling computer vision or biological image analysis
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The Department of Computer and Systems Sciences. With over 200 employees and 4,500 students, the Department of Computer and Systems Sciences (DSV) is a strong and dynamic research and educational
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Max Planck Institute for Astronomy, Heidelberg | Heidelberg, Baden-Württemberg | Germany | about 2 months ago
Software Developer / Computer Scientist (m/f/d) specialised in AI and Machine Learning EDV & Informatics Heidelberg Astronomy & Astrophysics Job Code: 421 Job Offer from August 01, 2026 The Max
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. The project will advanced state of the art AI for NLP or vision or both and embed self-awareness modules within these systems. This will likely involve a combination of the standard methods in these
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. The project will advanced state of the art AI for NLP or vision or both and embed self-awareness modules within these systems. This will likely involve a combination of the standard methods in these
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[Malaysia Campus- VPSSP] An AI-Informed Planetary Health Framework for Equitable AMR Risk Mitigation
ensure local relevance. Required knowledge Artificial Intelligence; Machine Learning; Computer Vision; Bioinformatics; Biomedical Engineering; Neuroscience; Genomics; Medical Physics; Data Science
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Coatings and Ceramics Computer Science Earth and Environmental Sciences Electrical and Electronic Engineering Environmental Sciences Fashion Imaging and Characterisation Informatics Management of
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that you meet the following essential criteria: Have a relevant MSc in Electrical and Electronic Engineering/Computer Science (or related discipline). Good hardware / software design skills. Good