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will be expected to create undergraduate and graduate learning environments that address the needs of students from a variety of backgrounds, with differing learning styles and abilities, develop
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leadership Expertise in Scholarship of Learning and Teaching (SoTL) Experience managing HEA-accredited schemes and academic mentoring A deep understanding of sector-wide pedagogic challenges and innovation
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Professor Arbel’s lab in the context of a grant focused on developing multi-modal causal deep learning models to predict future disability progression and treatment response in Multiple Sclerosis
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of research and artificial intelligence applied to medicine, with prior knowledge and experience related to signal analysis and deep machine learning. Where to apply Website https://sede.udc.gal/services
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) and a deep understanding of how modern libraries and information services contribute to teaching, learning and research. What we offer A dynamic, purpose-driven environment where your leadership will
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and innovation! What you will do Contribute to cutting-edge research in robot learning Implementation of deep learning and generative models Study novel approaches to train generative models for robotic
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using deep learning and AI-driven image analysis. You will: - Analyse pre-implantation kidney biopsies according to the Banff criteria; - Apply AI methods for automatic segmentation and morphometry
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Université Grenoble Alpes, laboratoire TIMC, équipe GMCAO | Grenoble, Rhone Alpes | France | about 1 month ago
with expertise in medical image processing—particularly registration and segmentation—and proven experience in deep learning, with a focus on ultrasound imaging. Prostate cancer diagnosis relies
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Saelens team. Research Project In this research project you will develop probabilistic deep-learning models that automatically extract biological and statistical knowledge from in vivo perturbational omics
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Language Processing, and Electronic Medical Record (EMR) data mining. Prior experience in deep learning, biophysics or omics data analysis is essential. Preference will be given to applicants with prior training in