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data and operation of complex data base and information systems in order to code and abstract medical data and routine data entry. Record and code incoming forms etc, checking for inconsistencies
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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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work. Experience with data analysis, coding, or malaria immunology is desirable, but training will be provided where needed. This role suits someone who is motivated, curious, and ready to support a busy
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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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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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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