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to develop resilient coordination architectures for networks of autonomous maritime robots operating in complex and communication-constrained environments. The research will investigate how heterogeneous
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relevant research experience. These Fellowships aim to develop the next generation of future leaders of the innovation system. Agricultural data, collected from long term trials is complex. Data is captured
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be self-motivated, well organised and comfortable working on complex, ambiguous engineering challenges, bringing clarity and practical problem-solving to every stage of the project. What we offer A
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science LCN and UCL Physics and Astronomy are at the forefront of research into complexity in materials science, particularly in the area of emergent properties in strongly correlated systems. Particularly
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, and sub-daily to evolutionary time scales. One of the goals of the SCINet Initiative is to develop and apply new technologies, including AI and machine learning (ML), to help solve complex agricultural
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ambitious researcher to publish high-impact science, develop highly sought-after expertise in complex subsurface fluid transport, and collaborate directly with leading industry researchers. We provide a
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-funded project “The function of the flagellar type-III secretion system ATPase complex during the assembly of the flagellum”. In addition, an increase in working hours by a further 50% for replacement
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clinical-translational studies, with a special emphasis on cancers that affect the Asian community in general. The selected candidate will provide leadership and expertise in conducting complex research
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/Squidpy. Understanding of immune-related bioinformatics High level analytical capability Ability to communicate complex information clearly Fluency in relevant models, techniques or methods and ability
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activities and take initiative to prioritise efforts and solve problems accordingly Ability to communicate complex information clearly within the research team, with project students, and to external audiences