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an individual who can demonstrate the following: Experience of working with children or young people with Special Educational Needs and Disabilities in an educational environment Understanding of the 2014 Code
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are compliant with current statutory/safety requirements and approved codes of practice. You will deliver a professional, customer-focussed electrical engineering support service to all stakeholders
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neutrino physics—using a combination of CMB and large-scale structure data. The analysis will rely on modified Boltzmann codes (e.g. CAMB or CLASS) and Monte Carlo techniques for parameter inference
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solutions, develop machine learning/AI pipelines and deploy these pipelines in production. You can demonstrate experience in programming languages (e.g., Python, R, C++), software engineering (e.g., coding
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Application’. Use ‘Course Search’ to identify your programme of study: · search for the ‘Course Title’ using the programme code: 8040F · select ‘PhD Civil Engineering – Water Resources (full time
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code: 8208F · leave the ‘Research Area’ field blank · select ‘PhD Energy Materials' as the programme of study You will then need to provide the following information in the ‘Further Details
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any appointment can be confirmed. A copy of the DBS Codes of Practice concerning background checks is available for all applicants, upon request. This role will not attract sufficient points to obtain a
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or ROS 2 for real-robot software integration. Proficiency in Python and C++, with experience developing and maintaining production-level code. At least 2 years of experience in robotics research
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Finance team. In addition, the role holder will also contribute to finance tasks such as updating the finance system, coding expenses claims and amending payroll coding. You will have previous research
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with exoplanet cloud modelling codes an interest in the interpretation of exoplanet spectra. Please submit via the Bristol portal a cover letter, CV, and research statement including information