54 postdoctoral-image-processing-in-computer-science PhD positions at University of Birmingham
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scanning confocal microscopy and calcium imaging in time-lapse, computational imaging approaches for analysis of images and movie recordings, analysis of the connectome to identify neural circuits
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autophagy and the innate immunity response. Using cutting-edge omics (transcriptomics/proteomics), advanced imaging (confocal) and cellular biology approaches (macrophages, autophagy biomarkers), this project
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editing), transcriptomics, laser scanning confocal microscopy, computational imaging approaches for analysis of images and movies, stimulating neuronal function with opto- and thermo-genetics in vivo, and
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project, we will analyse the dynamical processes driving tropical atmospheric rivers, their interactions with low-pressure systems such as monsoon lows and tropical cyclones, and the skill of the Met Office
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• Quantitative and computational skills but training will be provided • Interest in Bayesian statistics, stellar evolution, and exoplanet science Keywords Bayesian inference · hierarchical modelling · stellar
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plastic use by nesting birds globally using image archives such as YouTube, Google Images etc. and relate it to land-use (e.g. urbanisation), pollution etc. For further information on this project and
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the interaction between fuel characteristics and hybrid powertrain configurations, optimising combustion, fuel injection, and mixing processes for carbon-neutral or low-carbon fuels. Develop system-level models and
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, cooperative operation among connected electrified vehicles such as airport trailers, delivery pods, or urban mobility fleets. Using multi-agent systems, reinforcement learning, and digital-twin technologies
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-disciplinary PhD project aims to provide a clear picture of the landscape of battery manufacturing, waste and end-of-life processing. The project aims are to: Identify waste streams and energy requirements
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, few people are trained in its operation. This PhD project will involve training on, and the further development of native mass spectrometry technology. The student will operate within the Advanced Mass