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PyTorch or TensorFlow. Experience with ROS or ROS2 for real robot software integration. Proficient in Python and C++, with experience in writing production-level code. At least 2 years of experience in
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approach for detecting sparse, unlabelled events in noisy multivariate time-series • Why this project appeals to you now Code sample (optional): GitHub repo/notebook demonstrating your implementation
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University equality, diversity, and inclusion (EDI) are a key part of the University’s Strategy and a central part of everything we do. We also live by our values and our Staff Code of Conduct. At Durham we
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equality, diversity, and inclusion (EDI) are a key part of the University’s Strategy and a central part of everything we do. We also live by our values and our Staff Code of Conduct. At Durham we actively
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, particularly in computational physics (coding), applied mathematics, and independent experimental design. Access to opportunities to build optional, self-directed experience in these areas before university
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Information You must at all times carry out your responsibilities with due regard to the UKRI: • Code of Conduct • Equality, Diversity and Inclusion policy • Health and Safety policy • Data
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Full Time and Permanent Role The closing date for applications is 23.59 on 28th January 2026 Interview Date - 10th February 2026 By reference to the applicable SOC code for this role, sponsorship
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, please see the Job Description here. About you To excel in this role, a strong understanding of SEND legislation and EHCP processes in an FE environment, including SEND Code of Practice and Children and
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, users, and researchers, and ensuring code reliability, modularity, and scalability through automated testing and CI/CD pipelines. You will also oversee the deployment, monitoring, and optimisation
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compliance with legal and regulatory requirements in respect of equality and diversity, data protection, copyright and licensing, security, financial and other University policies, procedures and codes as