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. In addition, the following are requirements for the role: Strong programming and quantitative skills, particularly in Python and/or R. Experience in deep learning, machine learning, or large-scale
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to improve acute tissue slice culture, cryopreservation and distribution. Analyze the generated data, design and perform validations through tissue imaging and other functional measurements. Lead the project
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, DNA–protein conjugation, cell culture, high-throughput sequencing and bioinformatics. During the doctoral education the student will design and run experiments, analyse and interpret data. We value
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requirements, please see the subject’s general study plan . The specific requirements are met by having passed exams in areas relevant to the subjects of image analysis and machine learning with a minimum of 90
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. At the Division of Systems and Control , we develop both theory and concrete tools to design systems that learn, reason, and act in the real world based on a seamless combination of data, mathematical models, and
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, and experience of working at the interface between fundamental research and therapeutic innovation. Project description Project title: “RIBO-LINC: Linking data-driven solutions and RNA innovation
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experience in population genomic modeling (e.g., using SLiM), analysis of structral variants from long‑read data, population genomic analysis of whole‑genome re-sequencing data are a merit — these techniques