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the national Data-Driven Life Science (DDLS) program. About the position and the project As an industrial PhD student, you will be employed by the startup company PredictMe AB while being formally enrolled as a
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each year. You can find more information about us on the Department of Information Technology website . The project is led by Professor Joakim Lindblad, at the Centre for Image Analysis and the Vi3
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DDLS industrial PhD position We are announcing a position for a Data-Driven Life Science (DDLS) PhD student in data-driven precision medicine and diagnostics. To be a doctoral student means to
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antibody sequences for functional testing. The doctoral student project and the duties of the doctoral student In this PhD project, the student will use and develop new tools for multimodal data to study
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in Sweden. This PhD position is part of the DDLS research area Evolution and Biodiversity. Data-driven evolution and biodiversity concerns research that takes advantage of massive data streams such as
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on the University website about being a Lund University employee: Work at Lund University Work assignments The PhD student will be responsible for the analysis of advanced 4D live-cell microscopy data
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Development Design new statistical and machine learning models tailored to this emerging omics modality. Multimodal Data Analysis Work with high-dimensional datasets combining quantitative RNA features
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! At the Department of Medical Epidemiology and Biostatistics, we are announcing the position as DDLS PhD student in data-driven precision medicine and diagnostics. Data-driven precision medicine and
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this unique program! At Linköping University, we are announcing the position as DDLS PhD student in Data-driven precision medicine and diagnostics Data-driven precision medicine and diagnostics covers
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perturbation-based GRN inference for single-cell and spatial multi-omics data, to boost GRN quality and add the cell type and tissue heterogeneity dimensions to causal regulatory analysis. A deep learning