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. Experience with the following methods/techniques is also considered valuable: Isolation of immune cells from tissues and blood Tissue staining and imaging using confocal microscopy and image analysis Molecular
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Electron Microscopy (TEM) and HAADF-STEM images. Microscopy data are often degraded by noise and scan distortions, and clean ground truth data are rarely available. This project aims to go beyond standard
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allocation proposals, conducting machine learning workflows, and developing complete models. Example applications include microscopy image data, cryo-electron microscopy, structural prediction and dynamic
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. We are looking for someone who enjoys working in a structured way and has an eye for detail, yet can take a broader perspective to analyse and assess the bigger picture. You are self-driven and
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2 postdocs. Research visits to Chalmers and Recorded Future will be organized throughout the Ph.D. Linköping University is ranked 43rd globally in AI research, 12th in Europe, and recognized as
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fast-paced research environment, a structured and organized approach is highly valued. You will work in a team of researchers from diverse backgrounds, including PhD students and postdocs, and should
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devices The project will include three secondments: University of Bern (Switzerland) – advanced in-operando spectroscopic techniques Molecular Gate (Spain) – advanced methods to image doping profiles
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electronic devices The project will include three secondments: University of Bern (Switzerland) – advanced in-operando spectroscopic techniques Molecular Gate (Spain) – advanced methods to image doping