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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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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
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, Experience in image processing and image analysis of tomographic or other imaging data, High motivation, ability to quickly learn new techniques, and strong time management skills, Strong collaboration and
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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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for Ecosystem Science), providing a clear picture of the system’s inputs and outputs. An additional task will be to assess effects of environmental conditions and management activities on these carbon and water