1,415 evolution "https:" "https:" "https:" "https:" "https:" "https:" "University of Texas at Austin" research jobs in United Kingdom
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part of an EPSRC Programme Grant involving 15 co-investigators in a range of disciplines related to development of PET imaging strategies for the development of healthcare nanomaterials for therapeutic
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scheme, 30 days’ leave per annum (pro-rata for part-time/fixed-term), a season ticket loan scheme and access to a comprehensive range of personal and professional development opportunities. In addition, we
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global perspective. The role also involves organising research seminars and contributing to the development of conferences and collaborative academic initiatives. The postholder will contribute to teaching
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Neuroimaging, MRC BNDU, and the Oxford Health NIHR BRC. About You You will hold a PhD in biomedical engineering, neuroscience, or a related field, and have experience in the development of technological systems
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(including a Parenting and Carers Fund and the Carer’s Career Development Fund), training, and a variety of diversity and inclusion networks. Staff can apply for flexible working to help them balance
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, climbing wall, cycle circuit, and sports halls. Personal Development: Access to courses run by our Organisational Development & Professional Learning team. Access to on-site childcare, shopping discounts and
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training and development support A friendly, inclusive and supportive culture and work environment This post does not meet the minimum salary requirements for visa sponsorship under the Skilled Worker Route
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/neuro-AI, research software development, and open science. The role is intended to support career progression toward postgraduate study (including PhD applications) or technical roles in academia
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the tunability and cell permeability of small molecules. Working with members of the Lovell lab, the successful candidate will contribute to the development of next-generation macrocyclic inhibitors designed
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selective absorption of solar radiation and suppression of thermal emission, enabling highly efficient solar-thermal materials. Your work will focus on the development of theoretical and computational models