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-based methods to improve cancer therapy Your profile Qualifications PhD in bioinformatics, computer science, biology, medicine, or mathematical statistics. Experience in cancer research and analyses
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will be financial coordination of the newly launched KAW funded SciLifeLab Alpha Cell program as well as the EU MSCA SciLifeLab PULSE Post Doc program PULSE Postdoc program. About the Programs The Alpha
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within nationally prioritized data-driven life science research projects, using state-of-the-art computational methods Develop and implement necessary tools and workflows for such analyses Educate other
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with various disease states. There is also strong research in method and technology development, including the design and synthesis of small organic molecules and biological macromolecules. Development
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sequencing platforms (e.g. NextSeq 2000, NovaSeq X Plus). The role also includes continuous improvement and standardization of existing analysis methods (e.g. single-cell applications, basic histology and
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course catalog and you will have the opportunity to participate in teaching at advanced level (PhD level and up). Requirements PhD in Bioinformatics, Computational Biology, Computer Science, or a related
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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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for one to two PhD students in analytical chemistry to develop analytical methods for single cell analysis and mass spectrometry imaging using direct infusion mass spectrometry. The PhD candidate will work
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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
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of data-driven life science and includes access to a formidable package of resources. Project description: DDLS Fellows Program The SciLifeLab and Wallenberg National Program for Data-Driven Life Science