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on glacier behaviour, including extreme events. For this work you should be familiar with image (pre-)processing techniques to obtain high quality quantitative data from time lapse imagery. This may include
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process. Informal enquiries may be addressed to Prof. Carola-Bibiane Schoenlieb at cbs31@cam.ac.uk . Please quote reference LE48217 on your application and in any correspondence about this vacancy
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A 3.5-year PhD position is available in the field of experimental nanoscience at surfaces and molecular-scale imaging of conjugated polymers in the group of Prof. Giovanni Costantini
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FAST-TRACK – Fast Alloy Screening for Next Generation Aerospace Superalloy Development EPSRC CDT in Developing National Capability for Materials 4.0, with the Henry Royce Institute PhD Research
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high dynamic range (HDR) imaging is redefining the way smartphone cameras and displays capture the world. Despite HDR becoming the new standard, many classic image-processing algorithms and generative
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international importance, with clear pathways to uptake within the UK’s sovereign capability frameworks. To apply, please contact Prof. Kit Windows-Yule (c.r.windows-yule@bham.ac.uk ). Funding notes: This PhD
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analysis in cleared tissues Working knowledge of image analysis and automation is welcome Examples: Fiji ImageJ, Python for batch processing, napari, basic ML or deep learning toolchains Advantageous but not
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computer vision, image/video processing, or generative modeling is highly desirable, as is familiarity with LLMs and diffusion models. The successful candidate will collaborate with Prof. Stefanos Zafeiriou
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Funded UK Students Prof Mohamed Pourkashanian, Prof Lenny Koh Application Deadline: Applications accepted all year round Details This PhD is one of a number of projects hosted by the Centre for Doctoral
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for image-based modelling Your profile PhD in physics, materials science, computer science, applied mathematics or a related field strong background in image processing and analysis, including deep learning