18 postdoctoral-image-processing-in-computer-science PhD positions at University of Birmingham in United Kingdom
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Fellowship, there is additional funding for training and travel. Graduates from the group will be well prepared for a career across all areas of science and technology. Application process Interested
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Advances in manufacturing science have resulted in unprecedented research and development in the design of ‘micro-swimmers’: microscopic entities that navigate fluid environments by converting some
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, Physical Sciences, Computer Science & Maths): These are fellowships for women scientist and engineers. The candidates must be from eligible low and middle-income countries (find the complete list here: https
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for the prevention of IAI. The person taking on the project will need to work closely with the clinical teams and the patients and to do laboratory and computer-based work. A clinical qualification is not a
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, antennas, and electromagnetic metasurfaces. The computer-aided simulation of electromagnetic fields is critical in the design of most computing and communications devices, such as high-speed interconnects in
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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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, 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
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Project Outline Skeletal muscle undergoes progressive loss of mass and function during ageing, a process termed sarcopenia. This decline arises from reduced myogenesis and degeneration of existing
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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