1,057 postdoctoral-image-processing-in-computer-science PhD positions in United Kingdom
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(computer vision technologies). The interdisciplinary nature of this PhD will require the integration of environmental science, engineering, and community science methodologies. Supervisors: Primary
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to the controls (Mason et al., 2023 Communications Biology). In this project, we aim to further optimise our OCE imaging platform and apply new methods (e.g. Quantitative Phase Imaging (QPI)) to expand
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challenge of our time, and it is more urgent than ever to act fast on reducing greenhouse gas emissions from current chemical manufacturing processes. Plasma technology provides a sustainable, fossil fuel
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invite applications for a limited number of fully funded PhD studentships at the School of Physics, Engineering and Computer Science of the University of Hertfordshire. This is an exciting opportunity
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. Applications are invited for a full time EPSRC Industrial Doctoral Landscape Awards (IDLA) PhD studentship in research on Optimisation of thermomechanical ageing processing: influence of quenching and pre-ageing
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quality, diversity, and biological relevance using standard metrics and expert review. Anonymised digital images from tissues in biobanks will be used to train generative models on university computing
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resolution. This process offers strong potential for applications in clean energy, electronics, and other advanced technologies. The PhD will focus on extending this technology to high-melting-point metals and
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, they can utilise temporal and spatial diversity whilst simultaneously exploiting shared, intelligent adaptive signal processing whose combined performance and resilience can easily exceed that of the sum
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marine sciences, biological oceanography, ecology, or computer sciences. Strong analytical, numerical and practical skills are essential. Experience in coding or applying quantitative methods in a
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to develop the new processes, process technologies and green chemistries required for the process industries’ transition to Net Zero. This PhD will focus on scaling up and optimising MEC technology for real