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are multidisciplinary and built on close collaborations with business and industry. This approach is further strengthened by our world-renowned Problem-Based Learning (PBL) teaching model, which is grounded in solving
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Deutsches Zentrum für Neurodegenerative Erkrankungen | Bonn, Nordrhein Westfalen | Germany | about 11 hours ago
the possibility of extension, offering the opportunity to contribute to cutting-edge projects at the interface of fundamental and translational neuroscience. Conduct independent and collaborative research using in
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multimodal deep learning models combining CT imaging and clinical data, trained on the unique RADAR consortium database . These models will be validated in close collaboration with clinical and industrial
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About us: We are seeking experts in medical image deep learning to join our team and help develop novel computationally efficient segmentation algorithms. We welcome application from individual with
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analytics into the future of infrastructure and technology megaprojects. The appointee will conduct original research, publish in top-tier journals, collaborate with academic and industry partners, and
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Post-doctoral Position in AI Causal models for Synchrotron Anomaly Detection H/F This post-doctoral position is part of a collaboration between LIAD (Laboratory of Artificial Intelligence and Data
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transferable skills to address future challenges. We collaborate with industry in our education, providing them with a talented workforce and benefiting from our collaborative research endeavours. Our
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contributions. Ability to provide advice, support and supervise Higher Degree by Research students. Experience in collaborating locally and nationally in the interest of enhancing research outcomes. Ability
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an outstanding research track record and extensive expertise in cancer bioinformatics, cancer biology, cancer immunology, deep learning models and/or artificial intelligence, as well as hands-on experience with
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Monte Carlo charged particle simulations to model energy deposition and generation of secondary particles, and collaborate with a team of researchers to explore heating, melting, vaporization, and general