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details This is an outstanding development opportunity for a talented individual who wishes to conduct research on children and young people with life limiting conditions and their families. Previous
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motion and the viewing perspective of the observer (Nikolaidis et al, 2016). This project will develop continuous models of action legibility using these sources of information from data collected in a
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Cambridge, Cambridgeshire, UK. The key responsibilities and duties are to perform experiments with liquid-fuelled and hydrogen flames, employ laser diagnostics, analyse the results, prepare presentations
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used. AI methods for generating regulatory hypotheses between genes, hormones and physical properties will also be developed. Applicants must have/be close to obtaining a PhD or MPhil in Computational
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english (written and spoken) are expected We offer Goal-oriented, individual training and development opportunities Working with the latest techniques / technical equipment Possibility of doctorate
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examining the intersection of environmental challenges and the just transition. This role is ideal for candidates planning to apply to top PhD programmes and looking for hands-on research experience on high
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benefits, layoff, termination or any other terms and conditions of employment. For additional information please see the Non-Discrimination Statement at the following web address: http://uhr.rutgers.edu/non
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controlled via structural phase transitions or external fields. The successful candidate will develop and apply a range of theoretical and computational methods based on first-principles electronic structure
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UTEP's strategic initiative to develop a world-class research cluster in this field, supported by the UT System Regents' Research Excellence Program. Research Assistant Professors will contribute to high
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, with the ultimate goal being the development of forest resilience mapping. The work will combine existing forest plot and remote sensing data to assess functional diversity and resilience and apply