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for visualization of scientific data. Currently, InfraVis employs over 50 experts across nine universities. CIPA is Lund University’s local infrastructure for image processing and analysis. CIPA is also the
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. The candidate should have strong mathematical skills and experience in machine learning, programming, and the analysis of visual data. Furthermore, you are able to work with a long-term perspective and drive
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different backgrounds. This position requires that you have graduated at Master’s level in in computer science, media technology, computer engineering, human-computer interaction, visual learning and
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-cell transcriptomic atlases for the eyes and optic lobes of three invertebrates with unique and elaborate colour and polarisation visual systems: mantis shrimp, water fleas, and firefly squid
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education to enable regions to expand quickly and sustainably. In fact, the future is made here. The Department of Molecular Biology/Umeå university, are searching for a DDLS PhD student in Data driven
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will be a part of our team. The main work will be sample preparation for structural proteomics, i.e. wet lab work and mass spectrometry, followed by data analysis and visualization of data for users
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Value Chains, funded by The Bridge initiative. This project focuses on AI-driven data integration, forecasting, scenario simulation, and visual decision-support systems for sustainable forest-based supply
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selection of visual work (PDF, maximum 10 pages, and maximum file size 10 mb) As part of the application process, you will also be asked to respond to written questions about your motivation for applying and
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within linear algebra, calculus, numerical linear algebra, optimization, statistical machine learning, computer vision, 3D image processing, visualization, material science, deep learning, and software
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data integration, analysis, visualization, and data interpretation for patient stratification, discovery of biomarkers for disease risks, diagnosis, drug response and monitoring of health. The precision