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aims to cultivate the next generation of leaders with expertise in the social impacts of technology, and build a network of public interest thinkers who learn from and support each other’s work
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global supply chains grow more complex and resource resilience becomes increasingly vital. This is a unique opportunity to work at the intersection of materials science, genomics, and microbial engineering
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in distributed database systems, information retrieval, computer networking or semantic web. The post does not involve working outside of the UK for over 30 days in a row or over 90 days in a year. For
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created as part of the Working with Dementia Network Plus funded by ESRC, NIHR and the Alzheimer’s Society. Involving a cross-faculty team from Northumbria University and led by the University of the West
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targets the VDAC-hexokinase complex at mitochondria to inhibit host cell apoptosis, Molecular Cell, 37: 768-783, 2010. (https://doi.org/10.1016/j.molcel.2010.02.015 5. C.T. Tan et al., MOAP-1 Mediates Fas
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such as the Diversity Charter Mark NI and Athena Swan and have established staff networks such as iRise (Black, Asian, Minority Ethnic and International Staff Network) and PRISM (LGBTQ+) which help us
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interviews, analyse complex data, disseminate findings to a range of different audiences, develop own research objectives, identify sources of funding SRF: As above with additional responsibilities
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, Environmental Chemistry) Experience of development and validation of analytical methods (e.g. LC-MS, GC-MS) and ideally analysis of pharmaceuticals or steroids in complex samples (e.g. environmental, biological
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simultaneously. The selected candidate will provide leadership and expertise in conducting complex research activities within the overall scope of a research project under the supervision of the Principal
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AUSTRALIAN NATIONAL UNIVERSITY (ANU) | Canberra, Australian Capital Territory | Australia | 14 days ago
community at ANU. The successful candidates will join teams working on projects that span core AI research and interdisciplinary collaborations through the ANU Integrated AI Network (ai.anu.edu.au), focusing