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community members. The Role We are looking for an enthusiastic and talented research assistant to: support and lead school-based data collection for WP1 and WP3, including surveys, interviews, and biological
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written and verbal communication skills Experience of working in multidisciplinary teams (ideally across theoretical and experimental neuroscience) Downloading a copy of our Job Description Full details
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skills Computational neuroscience background Behavioral data analysis skills Strong written and verbal communication skills Experience of working in multidisciplinary teams (ideally across theoretical and
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culture that values the contribution of all backgrounds and communities. All employees will be recruited, selected and appointed in line with our equality and diversity policy.
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The PhD is funded by Kentown Support, a charity focused on improving community care for children with life-limiting conditions. The PhD will start in October 2025 and is funded for 3 years. Award
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and networking. They will be working within a vibrant community of research degree students and researchers at both institutes. The post-holder must have a relevant first (or postgraduate) degree in
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-based methods) Excellent writing and communication skills, with experience assisting writing publications for academic, public and stakeholder audiences Demonstrated interest and/or knowledge in social
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About us UCL Mechanical Engineering is a leading department committed to advancing engineering excellence for a sustainable future. We are home to a vibrant community of academics, researchers, and
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collaborations with research colleagues and develop strong working relationships with professional support staff and external officials. Communicate conceptual and complex ideas to a variety of audiences using
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contribution will have a lasting impact. As a member of our vibrant community of 22,000 students and 8,000 staff, you will collaborate with passionate minds across nine London campuses and a global network. This