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include simulation and control implementation, data analysis, and knowledge dissemination through technical documentation and stakeholder workshops. This is a full-time, fixed-term role starting 1 September
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, in situ mimicking of tissue forces, allowing us to map tissue and cell responses to mechanical inputs. This role provides an opportunity to contribute and integrate in ongoing projects as
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analysis, focused on selected electrodes or brain regions. We would like to investigate how graph deep learning models can be designed to capture dynamics in brain signals for the accurate detection, and how
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to publication of findings. What you can expect to gain during this role: Experience of working on a research project. Experience of data design and analysis. Experience of contributing to an academic publication
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of findings. What you can expect to gain during this role: Experience of working on a research project. Experience of data design and analysis. Experience of contributing to an academic publication. About You
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Do you want to work with healthcare data and develop your data science skills? Do you want to make a difference in healthcare by understanding the reasons why an implant fails or succeeds? Around 1
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exhibit complex two-dimensional structures whose performance is governed by subtle variations in layer stacking and nanoscale disorder—features that are difficult to resolve with currently available
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source projects Strong communication and interpersonal skills, with an ability to work with people of diverse backgrounds and across disciplinary conventions Familiarity with deception in design within
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As part of the Restoration Ecology And Dynamics (READY) Doctoral Focal Award, we invite applications to the following PhD project: Harnessing ecosystem resilience to inform woodland restoration
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and compare discrete “events” of coordinated movement and use our recently developed “swaRmverse” analysis pipeline [2] to perform inter- and intra-species comparisons of collective movement [3]. Based