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Field
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. - Research Areas: Positions involves research in smooth and continuous dynamics, including but not limited to: hyperbolic and non-uniformly hyperbolic systems, fractal geometry, Diophantine approximation and
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Kahl (Computer Vision, Chalmers), Kathlén Kohn (Algebraic Geometry, KTH), and Mårten Björkman (Robotics, Perception and Learning, KTH). The research focuses on developing novel machine learning methods
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computing - Correlated phenomena and quantum geometry effects in moiré superlattices and flat-band systems. - Transport phenomena in superconducting and electronic quantum devices. - Microscopic mechanisms
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Engineering nuclear envelope geometries to probe lipid chemistry-function relationships Romanauska & Köhler, Nature Cell Biol. 2023 What We Offer Two fully funded, full-time postdoctoral positions Possibility
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statistical shape analysis, Riemannian geometry, time series and stochastic processes, and Bayesian statistics. Key responsibilities: To carry out research within the framework of the project, under
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We are seeking a full-time Postdoctoral Research Assistant in Machine Learning to join the Visual Geometry Group (VGG), in central Oxford. The post is funded by Toyota Motor Europe and is fixed-term
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statistical shape analysis, Riemannian geometry, time series and stochastic processes, and Bayesian statistics. Key responsibilities: To carry out research within the framework of the project, under
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+ Experience with of detailed CAD geometry and grid generation for simulations Proven track record of funded activities from various government agencies Security Clearance Preferred: Current eligibility
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motivated Post-Doctoral Associate to join our team with a strong background in robot control, machine learning, and differential geometry to work on the development of advanced algorithms to enhance
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microfluidics channels experimentally. The particle dynamics under solute concentration gradient will be analyzed and new methods of manipulating particles in complex geometries will be developed. Application