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instances to solve new, yet similar, instances more efficiently than with general purpose algorithms such as Netwon`s method. In particular, we aim to develop a neural network architecture that will allow us
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, COBie) and common data formats (e.g., RVT, DWG); and (e) preferably have experience in computer graphics, 3D geometric algorithms, or WebGL development. Applicants are invited to contact Prof. John W
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, and sciences. These posts offer exciting opportunities to make defining contributions to The Leverhulme Centre for Algorithmic Life's research while providing excellent opportunities for to develop your
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related to staff position within a Research Infrastructure? No Offer Description The Leverhulme Centre for Algorithmic Life is a major new interdisciplinary research hub dedicated to the study of how
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developing simulation models, conducting algorithm design, and analyzing simulation results. There may be opportunities for future implementation and experimentation with hardware. A keen interest in research
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in three dimensions with an increased speed and resolution. One important challenge remains in iterative reconstruction algorithms, which require a lot of processing. This is currently developed
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the development, testing, and refinement of algorithms for mathematical reasoning. Collaborate closely with senior researchers and other team members to advance project objectives. Contribute to data collection
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program development with topics like abstract data types, trees, graphs, sorting, searching, greedy algorithms, and basic AI classification techniques. Students will gain both theoretical understanding and
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algorithmic expertise to lead and support cutting-edge research in long-read genomics, tandem repeat (TR) analysis, and population-scale variant discovery. Our group develops novel methods and performs large
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responsible for the end-to-end investigation of novel federated learning strategies for causal inference. The role will bridge rigorous theoretical work with hands-on algorithm design and development on real