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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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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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through advanced mass spectrometry imaging (MSI) technologies. The employment will be placed at the Department of Pharmaceutical Biosciences , at Uppsala University. Key Responsibilities Perform
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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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data types (transcriptomics, proteomics, imaging). AI/ML Applications: Applying machine learning or AI to predict gene function or discover functional relationships from perturbation data. FAIR
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maintaining reproducible and modular data analysis workflows Solid understanding of statistical methods and their application to transcriptomics and image-derived data Familiarity with public biological data
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will be responsible for data management and infrastructure, implementation and development of analysis pipelines. You will work on different datasets and help our users with image and downstream analysis
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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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biology, protein engineering, biochemistry. Optical engineering, fluorescence microscopy, image analysis: Development of microscopes and data analysis pipelines used to acquire and quantify high-throughput
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of video and audio in the wild, high-throughput imaging of biological specimens, and large-scale remote monitoring of organisms or habitats. The applicant is expected to have a strong computational focus on