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discovery by integrating artificial intelligence with synthetic biology to target “undruggable” proteins. The project is a collaboration between the national SciLifeLab Drug Discovery & Development platform
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of Medical Sciences can be found at https://www.uu.se/en/department/medical-sciences . The Affinity Proteomics unit at SciLifeLab, hosted at Uppsala University, is seeking a highly motivated biofinformatician
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SciLifeLab community both locally in Uppsala and in Sweden at large. For information about the SciLifeLab fellow program, see https://www.scilifelab.se/research/#fellows . SciLifeLab Fellows are also part of a
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Development Design new statistical and machine learning models tailored to this emerging omics modality. Multimodal Data Analysis Work with high-dimensional datasets combining quantitative RNA features
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(Salary) via the SciLifeLab and Wallenberg National Program for Data-Driven Life Science (DDLS; https://www.scilifelab.se/data-driven/ ), a 12-year initiative aimed at recruiting and training the next
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. Location: SciLifeLab , Solna https://ki.se/en/research/research-areas-centres-and-networks/research-groups/uncovering-the-molecular-and-physical-principles-governing-early-embryonic-division-and-nuclear
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, the interactions between plants and microorganisms, and other forms of stress such as plant growth and development, biotechnology and metabolic manipulation, regulation of gene expression, population genetics, and
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variety of fields, including evolutionary biology, molecular and population genetics, genomics, conservation, and behavior. SciLifeLab is a premier Swedish national research infrastructure dedicated
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. The Departments share advanced technological platforms, enjoy both basic and applied research across all kingdoms of life, and have access to national facilities such as SciLifeLab and Swedish high-performance
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molecular biology, evolution and biodiversity, precision medicine and diagnostics, epidemiology and biology of infection. For more information, please see https://www.scilifelab.se/data-driven/ddls-research