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for biomedicine students and Pathology courses for opticians. The bioinformatics work will be conducted in the Cancer proteomics Mass spectrometry research group headed by Professor Janne Lehtiö at Science for
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and biophysics, at Stockholm university. Project description Your studies in Bioinformatics will be in the project: “Gene Regulatory Network Inference and Systems Biology”. The goal of this project is
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the entry requirements for doctoral studies, you must hold a Master’s (second-cycle) degree in bioinformatics, molecular biology, microbiology, microbial ecology or similar field, or have completed
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steps: Data mining and organization of metabarcoding data from public databases and dataset provided by collaborators Processing metabarcoding datasets using internal bioinformatic pipeline (this pipeline
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units at all major Swedish universities. The SciLifeLab bioinformatics platform (National Bioinformatics Infrastructure Sweden, NBIS ) is now looking for outstanding candidates with competences in
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funding from Vetenskapsrådet (the Swedish Research Council), Knut & Alice Wallenberg Foundation, SciLifeLab and Swedish universities. The purpose of NBIS is to provide bioinformatics support and
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NBIS, the National Bioinformatics Infrastructure Sweden , engaging approximately 100 bioinformaticians spread all across Sweden. BIIF is thus well connected with both image acquisition and data analysis
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connected to the SciLifeLab Data Centre and the SciLifeLab Bioinformatics Platform (National Bioinformatics Infrastructure Sweden, NBIS), a unique national infrastructure with over 120 experts, providing
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a substantial theoretical, modelling, and bioinformatic aspect. It is essential that you possess considerable practical bioinformatics skills. We expect you to present and discuss results with other
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Assistant professor in Computational biology -machine learning for multimodal molecular biology data
experimental techniques for the production of omics data. The duties include teaching and program and course development in bioinformatics, data visualization, machine learning, biological statistics and