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Apply Now Responsibilities* Conduct research focused on designing and implementing algorithms related to cryo-electron microscopy (cryo-EM) data collection in a lab that focuses on the structural
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UKRI under Grant Reference EP/X026167/1. In this role, the successful candidate will collaborate with QSL’s team of researchers to design and implement variational quantum algorithms, resource estimation
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and planning algorithm for high-speed autonomous vehicle. The work will involve algorithm development, simulation, test rig set-up, and experimental validation. Requirements: The candidate must at least
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, encryption/decryption and compression; use of microelectronics devices (including COTS); implementation, inference, verification and validation of algorithms** on processing hardware platforms for space
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%). The position will be offered for three years and will have as topic the classical emulation of quantum algorithms for the simulation of complex quantum systems. The position will be based at the Institute
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EPSRC-funded project, MAPFSI that will be focused on developing experimentally-validated computational algorithms for fluid-structure interaction problems including multiphysics effect of electromagnetism
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the design and development of multiple projects using state-of-the-art AI models, algorithms, statistical models, and other programs designed to improve the public sector. Work with large untapped data
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. Implement and optimize algorithms for motion planning, balance control, perception, and human-robot interaction. Conduct experimental validation of humanoid robotic systems in lab and real-world environments
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pathways and degradation mechanisms at inorganic–organic interfaces. The position is hosted at the Fritz-Haber-Institut (Berlin) in a close partnership with the MPI Magdeburg, contributing to algorithm
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-modal data. * Develop and implement algorithms to process, clean, and transform large datasets to support research objectives. * Conduct exploratory data analysis, hypothesis testing, and develop data