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representation learning. You have strong programming skills, especially in Python, and preferably experience with PyTorch. You have a track record of publishing in top image processing / computer vision journals
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applicant will have a PhD in vision science, computer science, or a related field. Experience in cloud-based and mobile image processing for rapid object and face recognition and in use of head-mounted eye
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into experimental designs. Plan, execute, and oversee experiments across multiple modalities (e.g. proteomics, biochemistry, biophysics, metabolomics, imaging). Design efficient experimental workflows for generating
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development for 1H and 129Xe lung MRI. Design testing and construction of RF circuits Fault finding and maintenance of existing RF coils Contribute to the supervision of PhD and undergraduate students in
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computer vision, where the PhD project was fully or substantially method-focused on computer vision and/or AI-based image or video analysis have very strong knowledge of machine learning, with practical
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have earned a PhD degree in communication engineering, computer engineering, knowledge engineering, engineering science, or a similar field. The candidate who has held a PhD degree for less than 5 years
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Anaerobic Digestion (AD), brewing, distilling and dairy processing, are operated sub-optimally and as such are experiencing loses in productivity, yields and profits. These loses could be alleviated if key
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of Engineering and contribute to industry-engaged research in construction materials and modelling. This role offers a rare opportunity to work across laboratory experimentation, scaled-up prototype testing, and
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. Apply:https://informatics.ed.ac.uk/study-with-us/our-degrees/postgraduate-research-and-cdts/phd-3d-computer-vision-medical-imaging
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the lack of predictive process and material models. As a PhD candidate, you will work on the M2i-funded research project "Multiphysics Modelling of Tomographic Volumetric Additive Manufacturing Processes