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scientific ambition. Access to world-class facilities at SciLifeLab and KTH for spatial omics, single-cell genomics, high-resolution imaging, and computational infrastructure. Close mentorship with
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results Work with data evaluation, including image data mining Supervise master’s and or PhD students to a certain extent Contract terms The position is a temporary full-time employment for two years
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omics, single-cell genomics, high-resolution imaging, and computational infrastructure. Close mentorship with opportunities to lead projects, co-supervise students, and develop research independence
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/work-at-slu/ Name of research project: Turning Commercial Forests into Progeny Trials: Linking Genetics and Harvesting Data Research subject: Forest management, or Technology Description: This PhD
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doctoral degree (PhD. in Computer Science). Start date: Spring 2026. Project Description This PhD project explores the foundations of tractable probabilistic models, i.e. machine learning models that support
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, or Technology Description: This PhD project sits at the intersection of forest genetics, tree breeding, and advanced forest operations, aiming to integrate genetic data with detailed harvesting and environmental
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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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systems uses data to improve their own performance, understanding, and to make accurate predictions and has a close connection to applications. Project description This PhD project focuses on advancing
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related to clinical imaging diagnostics. LUCI (Lund University breast Cancer Imaging) is an interdisciplinary group of scientists and medical professionals, mainly focused on innovative clinical imaging
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of >10 members, including a full-time senior PhD statistician and both clinical and full-time postdocs. Our projects typically leverage large sets of either registry-based, biomarker, genetic and/or