11 experiment "https:" "https:" "https:" "https:" "https:" "https:" "FEMTO ST" PhD positions at SciLifeLab
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an advantage. Experience in cell-free RNA analysis, gene discovery or cell-type deconvolution is an advantage. Experience in experimental genomics methods, including RNA extraction and library
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strive for all PhD students to get a solid international experience during their PhD. About the DDLS Fellows program The PhD position is part of the national research programme DDLS. Data-driven life
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working with acute pancreatic slices. Experience in experimental methods in spatial transcriptomics and single-cell genomics (Parse is a plus). Experience in pancreatic islet biology Knowledge in using a
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collaborative skills, drive, and independence. Additional qualifications Meriting are: Interest in biomedical research and experience in application of image analysis in medicine; Experience of software version
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, the University of Melbourne, and the University of California, Los Angeles. We strive for all PhD students to get a solid international experience during their PhD. About the DDLS Fellows program The PhD position
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) Experimentally test hypotheses on candidate mechanisms leading to female sex ratio bias (e.g., meiotic drive with restorers) using existing and new crosses. (3) Establish the genetic underpinnings of sex ratio
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diagnostics, epidemiology and biology of infection. For more information, please see https://www.scilifelab.se/data-driven/ddls-research-school/ The future of life science is data-driven. Will you be part of
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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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. 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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, 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