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An exciting opportunity has arisen for an ambitious researcher to join our team working on a UKRI-funded project named African SCENe (Sustainable Community Energy Networks). This 3-year project aims
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digital techniques for advanced process control, including but not limited to: AI-enabled smart sensors Digital twinning Remote Operations and Security Novel communications technologies for mobile assets
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and timely manner Attend taskforce meetings and liaise with UKRI and external stakeholders Work to proactively build a network of others working on issues of data access in the UK and internationally
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system to determine cellular networks that lead to cell death and to establish molecules that can prevent degeneration. Experimental approaches being used in the lab include inner ear drug delivery, CRISPR
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Weekly Working Hours: 37 Fixed Term Contract: End Date: 2 years from start date Welsh Language: Not Applicable Job Description: Flexible working We are open to discussions about flexible working
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into the plasticity of pluripotent stem cells and their underlying gene regulatory network. Applicants should be motivated by fundamental scientific curiosity with a particular interest in stem cells and cell fate
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AUSTRALIAN NATIONAL UNIVERSITY (ANU) | Canberra, Australian Capital Territory | Australia | about 2 months ago
-financial rewards and programs, please click here . To see what the Science and Medicine at ANU community is like, we invite you to follow us on social media at Instagram and Facebook . A Diverse and
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control methodologies) the project will establish a robust framework for coordinating electricity, heat, cooling, and hydrogen flows in distributed energy networks. While the primary focus is on developing
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. The Australia-Spain Network for Innovation and Research Excellence (AuSpire) is an ambitious, interdisciplinary program co-funded by the European Union’s Horizon Europe research and innovation program under
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the Medical Research Council. The Research Fellow will be using Natural Language Processing (NLP) methods, with a special focus on generative Large Language Models (LLMs), to interrogate a very large sample of