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Queen Mary’s first University Research Institute dedicated to ground-breaking multi-disciplinary research in digital and data science, including artificial intelligence (AI). The role is jointly split
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. Prepares research reports and technical papers for publishing. 3. Investigates the feasibility of applying a wide variety of scientific principles and theories. 4. Maintains substantial knowledge of state
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and neutron beamtimes; magnetometry, conductivity, EPR or solid-state NMR on air-sensitive samples. Co-authorship in studies combining experiments and theory. Qualifications PhD in Chemistry, Materials
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activity/research for the traineeship The rapid increase in the number of satellites and launch vehicles in Earth orbit in recent years has heightened concerns about space debris and the need to define
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climate models, and (3) assess the impact of turbulent mixing on the Arctic Ocean state. The PDRA(s) on this project will, together with the PI and her collaborators, develop theoretical models (e.g
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or automated theorem proving, network verification, routing protocols, packet scheduling, or applications of AI/ML to systems and security Strong computational and analytical skills, including solid software
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, linear mixed models, or deep learning architectures). A solid theoretical background in literacy development, child language acquisition, or psycholinguistics. A record of academic publishing and high
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at the Universities of Liverpool, Exeter, Southampton, East Anglia, Tasmania (Australia) and Bigelow Laboratory for Ocean Sciences (USA). You will play a key role in delivering the project's scientific objectives
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The Laboratory of Geo-information Science and Remote Sensing at Wageningen University seeks talented and enthusiastic candidates for a postdoctoral appointment in Remote Sensing of the land surface
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-Doctoral Research Fellow – Peatland Fire, Palaeoecology and Ecological Resilience to join a Leverhulme Trust-funded project investigating how UK peatlands have responded to fire, climate and land-use change