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understanding and innovative fabrication processes to solve urgent problems in organic electronic devices, and enable new components with sustainable functionalities. Collaboration with industry partners will
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effectively within interdisciplinary research teams, fostering productive cross-disciplinary communication and teamwork. Desirable/meritorious Hands-on experience with mass spectrometry imaging data processing
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doctoral student who has Competence and skills: -Strong foundation in computer vision (e.g., object detection, image segmentation) and NLP (e.g., text reasoning, language models). -Knowledge of generative AI
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microscope building and operation, photo-switching studies. Microscopy-based assays and image analysis will be an integral part of the project as well as imaging on state-of-the-art super-resolution
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imaging data. Our offices are located at the Clinical Research Center (CRC) in Malmö, next door to the Department of Obstetrics and Gynecology at Skåne University Hospital. This project aims to investigate
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information about us, please visit: www.dbb.su.se . Main responsibilities SciLifeLabs Cell and Molecular Imaging (CMI) platform offers access to advanced imaging technologies, from cryo-EM and tomography
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staff position within a Research Infrastructure? No Offer Description Your team SoftiMAX is a soft X-ray beamline focussed on spectro-microscopy and coherent imaging techniques, with 2 branch lines
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focus on image processing and restoration, to develop novel AI-based approaches to restore and denoise Transmission Electron Microscopy (TEM) images. This position is part of a cross-disciplinary research
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using Cell Painting and high-content imaging. Deep learning and multivariate methods, both supervised and unsupervised. Development of software and pipelines for analysis of large-scale image data
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affects qubits. At the Department of Electrical Engineering, we conduct internationally renowned research in biomedical engineering, antenna systems, signal processing, image analysis, automatic control