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<span lang="en">Universitätsklinikum Hamburg-Eppendorf</span> | Hamburg, Hamburg | Germany | 6 days ago
(2024) and Cell Reports (2026). Lucia Testa works on geometric and topological deep learning, including neural networks on simplicial and cell complexes, with contributions in IEEE Transactions on
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Overview Title PhD Scholarship: A Vision-Based Approach to Biofouling Analysis using Deep Learning Techniques College College of Science and Engineering Opening date 23-09-2026 Closing date 13-11
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King Abdullah University of Science and Technology | Saudi Arabia, | Saudi Arabia | about 15 hours ago
is a unified application form for all positions in the Beyesian Deep Learning group at KAUST led by Prof Maurizio Filippone, including Research Intern MS/PhD Student PhD Student Postdoctoral Fellow
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Primary supervisor Reza Haffari Research area Data Science and Artificial Intelligence Although deep learning has produces state of the art results on many problems, it is a data hungry technology
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Job Description The Section of Bioinformatics, DTU Health Tech is world leading within Immunoinformatics and Machine-Learning. Currently, we are seeking a highly talented and motivated PhD student
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Primary supervisor Chern Hong Lim Co-supervisors Bisan Alsalibi Yasmeen George Research area Data Science and Artificial Intelligence While deep learning has shown remarkable performance in medical
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Phd/doctoral Tromsø, Norway Apply UiT The Arctic University of Norway Physics and Technology/Machine Learning Group UiT Noregs arktiske universitet Postboks 6050 Stakkevollan 9037 Tromsø Norway The
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situational awareness and evidence-informed response and propose operational tools. Main duties and responsibilities include: Design multimodal deep learning-based methodologies linking satellite image
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Primary supervisor Lan Du Co-supervisors Prof Wray Buntine Research area Machine Learning Project Background & Motivation Active learning (AL) mitigates the heavy annotation costs of deep learning by
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Primary supervisor Lan Du Co-supervisors Prof Wray Buntine Research area Machine Learning Project Background & Motivation Active learning (AL) mitigates the heavy annotation costs of deep learning by