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biological basis, through technological processes and mathematical support. Your profile We are looking for a candidate with proficiency and documented research experience particularly in immunology and/or
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to address missingness in mass spectrometry imaging (MSI) of brain tissue. The missingness can happen along two dimensions: spatial (super resolution) and feature (data imputation). Enhancing the quality
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) classification and utilization based on advanced AI technologies, such as regenerative AI, image processing and reinforcement learning, that can improve the energy efficiency and reduce the operating cost and
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radar signals), (ii) Medical image analysis, and (iii) Machine learning/artificial intelligence. The group boasts extensive experience in fundamental research within computer vision, machine learning and
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as scientific visualization, data and information visualization, volume visualization, flow visualization, medical visualization, large-scale image and volume processing, multi-resolution and out
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methods that use light to explore biological systems and processes at the molecular, cellular, and tissue levels. It includes experimental light microscopy and image analysis, such as super-resolution and
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measurements to the results of existing techniques using backscatter to quantify forest attributes through synthetic aperture radar imaging. The overall project, spanning multiple institutions, aims to produce a
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and conducts research and teaching mainly in Electrical Engineering and Computer Technology. We are located on LTH's campus in northern Lund. The Division for Electromagnetics and Nanoelectronics has 10
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through the recruitment portal. More information on the recruitment process can be found here . Instructions for project description/project plan(to be submitted together with application) 1) The project
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through the recruitment portal. More information on the recruitment process can be found here . Instructions for project description/project plan(to be submitted together with application) 1) The project