11 structures-"https:"-"https:"-"https:"-"https:"-"https:"-"https:"-"https:"-"https:"-"https:" PhD positions at University of Jena Cluster of Excellence "Balance of the Microverse" in United Kingdom
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shelters and nurseries, and how animals interact with their subterranean environment. This exciting, multi-disciplinary, technology-driven PhD aims to clarify how the structure of breeding and sleeping
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engineering, structural, aerodynamic & manufacturing process modelling and optimisation techniques that will transform current design & development practices. Together we will make technological advances
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have partnered with AWE to fund a 4-year Computational Project to use state-of-the-art Computational Chemistry techniques to understand structure-property relationships in oxide scintillators. We will
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with Graphs led by Prof. Nils M. Kriege. Our research focuses on the development of new methods and learning algorithms for structured data. Graphs and networks are ubiquitous in various domains from
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to elite contexts. Examine how organisational policies, cultures, performance structures, and social relations shape everyday practice and support or constrain high-level performance. Co-develop evidence
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they are to visitors/conspecifics, and where visual refuges occur) remain understudied. Their relevance extends beyond zoos, as visibility and access to visual refuge also structure interactions in-situ. This PhD will
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research methodology and present research findings in a structured way Ability to work independently and as part of a team Flexibility, willingness to learn and travel Excellent command of written and spoken
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conservation. It will adopt an interdisciplinaryapproach, combining 1) semi-structured Interviews with hunters, birdwatchers and conservation officers to understand feelings and attachments to wildfowl and
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supported by the Enhanced Composite and Structures Centre at Cranfield. About the sponsor We will work in collaboration with Cambridge Nanosystems, which is a world leading high quality, high performance
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structure, stage-structured demography and density dependence, road-crossing mortality, and climate–hydrology drivers to predict population trajectories and evaluate mitigation scenarios. This PhD will equip