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, aiming to transform the care for patients with abdominal aortic aneurysms (AAA). You will develop and validate cutting-edge multimodal deep learning models that integrate imaging and clinical data
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) About the Project Deep learning models, and in particular large language models (LLMs), have demonstrated remarkable capabilities but remain limited by their heavy computational requirements, lack
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University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | about 8 hours ago
developing software to support AI-driven techniques to rapidly diagnose, track, and treat neurodisorders. Responsibilities for this position includes:* Developing deep-learning approaches for insight and
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(mandatory) Experience as main author in peer-reviewed scientific publications (mandatory) Strong programming skills in Python and deep learning frameworks (mandatory) Documented expertise in one or more of
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multimodal deep learning models that integrate imaging and clinical data to personalize treatment and follow-up strategies. In the Netherlands, around 75% of patients with an abdominal aortic aneurysm (AAA
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& Computer Science of the Eindhoven University of Technology in the field of “Geometric Learning for Image Analysis”.The two year postdoc position is part of VICI Project (VI.C. 202-031, PI: R.Duits) and will
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Copenhagen Business School invites applications for a vacant Postdoc at the Department of Organization with a focus on imaginaries, time and politics. The position has a duration of 2 years, with
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Internal Number: 6568986 Postdoc Scholar - Marine ecology ESPM The Coastal Climate Resilience Lab - MCECO - ESPM Ecosystem Sciences Div - Carlson Lab Position overview Salary range: The UC academic salary
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the outcomes of SCC surgery. Job Responsibilities: As a PhD candidate, you'll focus on: Develop cutting-edge AI models: Train state-of-the-art deep learning models to segment SCC and healthy tissues using both
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to systematically understand cancer biology, identify diagnostic and prognostic biomarkers, and improve cancer therapy. Projects will involve the development of AI solutions, including machine learning, deep learning