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Field
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We are seeking a dedicated and skilled technician to join our team. You will provide efficient technical service, ensuring optimal organisation, maintenance, and preparation of teaching/assessment
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(400–700 MHz, solution- and solid-state NMR, EPR, Prodigy and He-Cryo units), ensuring optimal performance and reliability. Method development: Develop and optimize pulse programs and parameter sets
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optimizing these codes for efficient execution on supercomputing facilities. There will be opportunities for training and professional development, both within Durham and in collaboration with other DiRAC
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and software to select the optimal route for database programming and data capture to achieve research objectives. The role has a high focus on governance and compliance, both from a day-to-day and
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at optimizing data analysis in this critical collaboration. This includes the collection and integration of pseudonymised clinical metadata and genomic experimental data, ensuring rigorous data management and
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We are seeking a dedicated and skilled technician to join our team. You will provide efficient technical service, ensuring optimal organisation, maintenance, and preparation of teaching/assessment
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, and optimize algorithms for contact-based mobile manipulation. Apply reinforcement learning, imitation learning, and motion / manipulation skill learning to real robot tasks. Integrate learned policies
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whilst ensuring optimal workstation performance. Please refer to the job description for details on the essential criteria required for this role. ADDITIONAL INFORMATION Annual leave entitlement is 28 days
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optimize high-throughput crystallographic workflows for AI-readiness. · Ensure structural outputs are suitable for training and benchmarking ML models. · Contribute to the development of the Fragalysis
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will focus on three interconnected challenges: 1) Novel Inverse Reinforcement Learning (IRL) for Optimal Stopping Traditional IRL methods are not designed for noisy, trajectory-based optimal stopping