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systems (e.g., Snakemake, Nextflow, or equivalent) Prior experience with interactive data visualization frameworks Experience analyzing spatial transcriptomics data (e.g. 10x Visium, image-based) Experience
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at least 1 million DNA barcodes. The project involves collaboration with a computer vision lab at Linköping University, focused on developing AI-assisted techniques for picking out specimens for genome
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sciences. Project description The position will be associated with Assistant Professor Lisandro Milocco’s research group located at SciLifeLab (Solna) and the Department of Zoology, Stockholm University
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at all. Various cell types in the tumor’s environment assist tumor cells by providing a variety of factors that facilitate their formation, growth, and spread. The research group Experimental Oncology
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Starting Grant from the European Research Council and a DDLS Fellowship from the SciLifeLab and Wallenberg Swedish program for data-driven life science. The successful candidate will be working within
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workplace free from discrimination and with equal opportunities for all. Further information about the position can be obtained from Associate professor Marc Friedländer, phone: 0737-121558, marc.friedlander
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, as well as handling bioinformatics tasks such such as running analysis pipelines, performing quality control, and conducting downstream data analyses. You are expected to actively contribute to method
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the dean of the faculty involved and for decision about departmental affiliation. For more information, please contact MIMS Director, Professor Oliver Billker: oliver.billker@umu.se, +46 90 785 67 78 We
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tasks include development of adequate single-molecule labeling strategies, optimized use of high-precision MINFLUX microscopy, and establishing methods for data precision analysis. What we offer A
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Sweden’s largest museum. For more than 200 years, the museum has been collecting specimens and data and conducting research on life on earth. The collections contain more than 11 million plants, animals