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internationally is central. The program aims to create an AI model of a human cell to predict core cellular functions including metabolism and division. It is based on the SciLifeLab Human Protein Atlas
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information. The techniques include image registration, segmentation, and regression/classification, often include deep learning-base implementations. Together with experts in epidemiology, genetic, and multi
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of Information Technology website . The project will be led by Professor Carolina Wählby , within the Image Analysis unit of the department’s Vi3 division, working alongside researchers developing numerical and
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bioinformatics, with a particular emphasis on performing analysis of high-dimensional data, which can be sequencing and/or imaging-based. Experience working with AI and machine learning approaches are considered a
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collaborative project at the division of Biophysics, Department of Applied Physics, KTH. The goal of the project is to use microscale acoustofluidic technology for the formation, development and analysis of 3D
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Admission to Doctoral (PhD) Studies in the subject Engineering Sciences with specialization in Biomedical Engineering at the Division of Biomedical Engineering, Department of Materials Science and