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-of-computing-science/ Project description and working tasks The project will develop privacy-aware machine learning (ML) models. We are interested in data-driven models for complex data, including high
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cavity structure enable a mechanism for the controlled Bose-Einstein condensation at room temperature, with applications in all-optical computing Nature Photonics 13 378 (2019) and quantum sensing Nature
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member's task is strongly intertwined with the tasks of the other team members. You will develop new techniques to extract the 3D ED data of individual phases within complex, multiphased materials from 5D ED
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computational costs by orders of magnitude and enabling breakthroughs in drug design and materials science. The position bridges machine learning and molecular science, with opportunities for collaboration
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shielding, radiation damage, particle transport. Computational skills allowing to compose or modify comprehensive simulation open-source codes. Experience in data analysis and simulations of complex and
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development opportunities. • Lots of support for health and wellbeing including discounted membership for our state of the art sport and gym facilities and access to a 24-7 Employee Assistance Programme
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or quantum computing; (iii) work on quantum degenerate gases in optical lattices; (iv) the study of molecules formed by associating ultracold atoms. How to Apply For informal enquiries please contact Prof
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, Lyapunov stability, and safety for human-robot collaboration. Advanced Manipulation and Navigation: Enabling robots to handle complex, dynamic environments, including those involving deformable objects and
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biology and systems chemistry/complex molecular systems. The research programme of the Feringa group focuses on synthetic and physical organic chemistry, inspired by Nature's principles of molecular
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. The Role Applications are invited for a postdoctoral research associate in the theory of soft and active matter, to work with Prof. Suzanne Fielding in the Department of Physics at Durham University on a