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of Gothenburg promotes equal opportunities, equality and diversity. We are seeking a highly motivated Associate Researcher (Data Scientist) with a strong background in computational image analysis, particularly
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Description of the workplace The Diagnostic Radiology research group performs research related to clinical imaging diagnostics. LUCI (Lund University breast Cancer Imaging) is an interdisciplinary
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Your team SoftiMAX is a soft X-ray beamline focussed on spectro-microscopy and coherent imaging techniques, with 2 branch lines. The first branch delivers a nanoprobe beam for Scanning Transmission
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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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of multispectral drone images, tree crown segmentation, spectral analysis from drone images and satellite images, fieldwork and processing field data, data management, data visualization, scientific writing etc
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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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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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mathematics, data science and machine learning for image recognition. Moreover, you will develop methods and software that will allow new characterization of nanoscale materials. Therefore, your research will
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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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processes to human health and ecosystems. As part of SciLifeLab , a unique nation-wide infrastructure and research community that combines advanced life science technologies with data and AI expertise