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Offer Description We are looking for a PhD student to join our Signal Theory and Statistical Learning group at TU Darmstadt, Germany. The position is in the mathematical foundations of deep learning, with
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Maritime Ltd and the University of Southampton. Find out more about Knowledge Transfer Partnerships here: https://www.ktp-uk.org/ Compute Maritime Ltd is a London-based deep-tech company bringing
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Maritime Ltd and the University of Southampton. Find out more about Knowledge Transfer Partnerships here: https://www.ktp-uk.org/ Compute Maritime Ltd is a London-based deep-tech company bringing
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. The ideal candidate will possess not only a deep conceptual understanding of neuroscience but also advanced technical expertise in machine learning, artificial intelligence, and data modeling approaches. We
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PhD studentship: Discovery of rational therapeutic biomarkers in breast cancer by systems pathology and deep learning Supervisor: Dr Hamid Raza Ali Department/location:Cancer Research UK Cambridge
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Connections (INTER). You can read more about the department at https://comm.ku.dk/ and about the section at https://comm.ku.dk/research/information-technology-and-connections/ Introduction to the PhD programme
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interface of machine learning, deep learning, data science and applications in forest sciences. Together with the Director, you will further develop KIForst as a faculty-wide platform for methodological
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and illegal logging detection. Working at the intersection of computer vision, deep learning, geospatial analysis and remote sensing, the postholder will collaborate closely with academic and
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Massachusetts Institute of Technology | Cambridge, Massachusetts | United States | about 22 hours ago
cycle assessment, life-cycle cost analysis, pavement simulation, machine learning, deep reinforcement learning, and/or physics-informed modeling frameworks; and demonstrated ability to effectively
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dysbiosis drives immune dysregulation and disease progression in pediatric patients, generating new clinical multi-omics data and using deep learning, structural equation models, and causal inference