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Uppsala University, Department of Information Technology Are you interested in developing new image analysis and machine learning methods for improved cancer understanding, diagnostics, and
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the past ten years thanks to artificial intelligence, mainly in the form of deep convolutional neural networks. In parallel, functional analysis of tissue samples via novel microscopy techniques and spatial
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competence in System Analysis including Environmental Systems Analysis and LCA, as well as Biometrics (statistics and mathematics with applications in biological systems) and Automation and Logistics. Read
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description and tasks The PhD student will carry out research in the analysis of Partial Differential Equations as part of a project supervised by Sebastian Throm. The subject area of the announced position
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collectively manage all aspects of safety work with ionising radiation at the MAX IV Laboratory. One of the current team members focuses on radiation safety simulations for shielding design and risk analysis
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checkpoint receptor inhibition used as a treatment in cancer affects the risk of cardiovascular disease. The duties include work with flow cytometry, immunohistochemistry, image analysis, gene expression
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to create secure, autonomous and developable solutions that interact with each other and their surroundings, from the edge to the cloud. Project description For this work, you will be working as part of a
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: Mathematics, Mathematical Statistics and Computational Mathematics. The research at the Division of Computational Mathematics covers many different areas in numerical analysis, symbolic computations
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marrow in brain tumors." The tasks include experimental work, data analysis, and compilation of results. The position is within the field of translational cancer research. Additional tasks may be assigned
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Are you passionate about applying computational approaches to solve problems in biomedicine? We are now looking for an Industrial PhD student in Data-Driven Life Sciences to work on a cutting-edge