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Field
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conduct original, foundational and applied research on the application of Quantum timing devices to networked radar systems and to evaluate their feasibility and performance limits through a combination of
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accumulations on our planet. They also break seafloor telecommunication cable networks that form the backbone of global data transfer, and there is emerging understand that they bury globally significant amounts
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and impact related to two EPSRC funded projects: ResTOrES (Resilience Toolkit for Offshore Energy Systems) and RENEW (Climate Resilient Heat Electrification for Net-Zero Emission Whole Energy). The
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models to assess the environmental impacts of bio-based products and systems using software tools such as OpenLCA. Analyze complex datasets to identify key areas for improvement in environmental
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science and artificial intelligence concepts and tools to solve complex problems. Candidates will also be developing machine learning techniques and applying them at scale to specific projects with regular
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is integrated within the project “Simulation of complex organics in astrophysical environments using machine learning (SpaceML)”, funded by the Research Council of Finland and supervised by Academy
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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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, building relationships, networks and partnerships with internal and external contacts, data collection and analysis, presenting and communicating complex information to a range of audiences, both orally and
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mechanisms, as well as complex issues of ethics and public trust. These challenges hinder investigations into critical societal issues and suggest the need for greater data access. Working as part of a new
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(PISCES) with different climate change scenarios and biogeochemical model complexities over centennial and millennial timescales. This will allow you to identify the key drivers of biological carbon storage