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learning methods to understand and investigate the functional behavior of gender-specific cancers. The work will include: Development of ML/DL methods for multi-omics data analysis. Design and implementation
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the time the applicant is admitted to the PhD program at the Department of Biochemistry and Biophysics. You meet general entry requirements if you have completed a second-cycle degree, or completed courses
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of cell nuclei We are actively seeking a highly motivated PhD student with a passion for developing experimental methods to join our team. In this role, you will be involved in a groundbreaking project
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to handle the massive amounts of data generated by novel high-throughput scMetaG methods. Here, the PhD student will develop novel bioinformatic methods and tools, which can be used to analyze massive amounts
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the department’s activities within method development for machine learning-based computational biology. The duties include supervision of PhD students and postdocs, and teaching at basic, advanced and research level
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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 processes
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responsibility for laboratory operations and safety with active scientific engagement, for example through contributions to research projects, method development, and recruitment-related activities. You will work
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-performance computing. SLU provides access to extensive datasets that can be used to develop machine learning methods and automated analyses relevant to the position. Long-term datasets are available from, i.a
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of complex brain processes. The prospective PhD candidate collects brain MSI data and develops novel machine learning methods in connection to generative models such as flow matching. Therefore, the doctoral
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methods. More about the department’s activities can be found at www.medsci.uu.se . The SNP&SEQ Technology Platform at IMV is part of the SciLifeLab National Genomics Infrastructure (NGI) in Uppsala. We