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, Applied Machine Learning, Neural Networks and Deep Learning as well as Machine Learning for AI and Data Science and Bayesian Theory and Data Analysis. We are looking for an associate able collectively
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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
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cardiometabolic disease. This two-year position (with the wish and possibility of extension for another four years) is ideal for a scientist with deep technical expertise and passion of alleviating disease burden
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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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develop deep-learning tools to analyse 3D brain scans from whole-organ to cellular scale, combining HiP-CT and MRI to reveal structural changes linked to diseases like ALS and Parkinson’s. You’ll coordinate
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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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lifetime. Most studies on this topic explore optimization and deep learning methods for finding the global optimal solutions offline and verify the results by model-in-the-loop simulations, but this project
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appointment. See the following table(s) for the current salary scale(s) for this position: https://www.ucop.edu/academic-personnel-programs/_files/2024-25/oct-2024-scales/t23.pdf . The current minimum salary
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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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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