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families. Carrying out data entry, coding, and annotation with precision and attention to detail. Assisting with the supervision and support of placement students. Depending on the post holder’s interests
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Have or be close to the completion of a PhD in cognitive neuroscience, neuroimaging, experimental psychology, computer science or a closely related discipline. Experience in the design, coding and
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Funded PhD studentships The successful candidate for each studentship will receive full funding for tuition and stipend, at UKRI standard levels. International candidates are encouraged to apply. Rapid Coastal Change at Slag-Based Anthropogenic Coasts Supervisory team: John MacDonald ,...
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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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of working and codes of practices, to ensure that the HDA programmes run smoothly. To be successful in this role you will have/be: Educated to A Level or equivalent Experience of using spreadsheets and
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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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Midlands Graduate School Doctoral Training Partnership | Leicester, England | United Kingdom | 2 months ago
, programming and coding and hierarchical linear modelling. The PhD candidate will design all aspects of the project with input from individuals with lived experience of gambling harm. Candidates should have
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experience in the development of first-principle wave models. Recent research experience in the development of numerical codes for complex electromagnetic scattering scenarios, and the use of full-wave
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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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is addressed within the current generation of design codes through simplified analytical or empirical models. It is known that these can produce conservative outcomes. Improved prediction tools offer