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. The research group is part of the National Program for Data-driven Life Science (DDLS), generously funded by the Knut and Alice Wallenberg Foundation: www.scilifelab.se/data-driven/ Our group focuses on studying
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: Ruisheng Xiong (e-mail: ruisheng.xiong@kemi.uu.se), +46736538132. Please submit your application by July 30, 2025, UFV-PA 2025/2057. Are you considering moving to Sweden to work at Uppsala University? Find
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stakeholders at all SciLifeLab sites in Sweden, e.g. representing the technology platforms, the national data centre, the operations office, the training hub, the data-driven life science (DDLS) research program
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). Particular emphasis is placed on HPC-supported computing of sequencing data into assembled transcripts (de novo assembly is a frequent need), and further downstream translation of the ORFs of said transcripts
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, advanced light and electron microscopy, and computational life sciences Guidance on relocating and settling in KTH and in Sweden Qualifications Requirements A doctoral degree or an equivalent foreign degree
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, including high-throughput screening, high-content imaging, omics technologies, and computational approaches, to elucidate mechanisms of toxicity. Ultimately, our work contributes to a deeper understanding of
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. During the evaluation of submitted applications, international referees may be used. In this event, the University may need to send applications that are written in Swedish to a qualified translator. In
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have a background in bioinformatics, computational cancer biology, or related fields with experience in cancer and data-driven research. For more details about our research visit: www.alundberg.org
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KTH Royal Institute of Technology, School of Engineering Sciences in Chemistry, Biotechnology and Health Project description Third-cycle subject: Medical Technology (Joint KTH-KI program) In
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to study host-microbiome interactions at the spatial level in the colon. The research activities of the doctoral student will focus on the experimental and computational analysis of spatial gene expression