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Uppsala University, Department of Information Technology Are you interested in developing new image analysis and machine learning methods for precision medicine and clinical decision support? Would
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project: Computational methods for complex SV detection using sequencing data Main supervisor: Kristoffer Sahlin, ksahlin@math.su.se . Co-supervisor: Adam Ameur, adam.ameur@igp.uu.se . In the Department
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with SciLifeLab, world leaders in spatial biology. The Engblom lab recently developed a new method to study B cells and B cell receptors within their tissue microenvironment using spatial
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methods based on optimal transport for addressing problems in signal processing, control theory, and inverse problems. The doctoral student project and the duties of the doctoral student By developing novel
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on how your research can be further developed into innovations. You are interested in driving the integration of methods in artificial intelligence (AI) and machine learning (ML) to improve and optimize
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the advertisement. Applications must be received at the last closing date at midnight, CET/CEST (Central European Time/Central European Summer Time). Applications must include the following elements: CV including
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European Summer Time). Applications must include the following elements: CV including your relevant professional experience and knowledge. Application letter with a brief description of why you want
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, computational methods and artificial intelligence to study biological systems and processes at all levels, from molecular structures and cellular processes to human health and global ecosystems. The SciLifeLab
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respond to various environmental factors. This field employs advanced experimental models and cutting-edge methods to understand how cellular and molecular mechanisms shape the physiology and metabolism
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) program. Data-driven life science (DDLS) uses data, computational methods and artificial intelligence to study biological systems and processes at all levels, from molecular structures and cellular