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the broader framework of Embodied AI. The goal is to integrate physical models with deep learning to create interpretable, data-driven observers that enable physically grounded perception and control for robust
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about the PhD programme, https://www.cbs.dk/en/research/phd-programme . CBS PhD graduates are held in high esteem not only in academia and research institutions but also in government and business where
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excellence within the School of Engineering, with a strong focus on Computational Geomechanics and industry-engaged research translation. This role is suited to a senior academic who combines deep technical
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should possess a PhD in Computer Science or related area. We are looking for candidates who have publications in top conferences like NeurIPS, ICML, ICLR, CVPR, etc. A strong background in deep learning
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experience in NGS data analysis and genomics pipelines since similar to proteomic pipelines. Record of prior first-author publications. A deep interest in biomarker research and discovery. The drive to pursue
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in medical image analysis. The ideal profile should demonstrate experience in developing deep learning algorithms applied to radiological imaging, particularly in breast and thoracic domains. Knowledge
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of the university to advance knowledge and learning at the highest level and to convey the products of its efforts to the world. Connections working at Columbia University More Jobs from This Employer https
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all year round Details Kolmogorov–Arnold Networks rethink deep learning by learning functions on connections instead of neuron activations. This PhD will improve the methods for training KANs, grounded
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MSCA Doctoral Network position “Electric solar wind sail mission design” We are now looking for two (2) Doctoral Researchers. This PhD topic is part of the “Electric solar wind sail doctors” (E
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bachelor's degree in biology, neuroscience, psychology, engineering, or equivalent who is planning to attend an MD-PhD or PhD program in neuroscience, bioengineering, or related field. At least 50% of the