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systems, or network analysis. Experience with methods for causal inference, or modelling of biological systems is also considered a merit, along with prior work involving large-scale sequencing data such as
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sequencing and synthesis to design useful cell behaviors. The scope of this project is to combine multi-gene control technology and computer algorithms to develop a foundational discovery platform for future
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the Karolinska Neuroimmunology and Multiple Sclerosis (KNIMS) division which gathers around 40 researchers working on different aspects of the pathogenesis of Multiple Sclerosis (MS) and other neurodegenerative
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cellular techniques, such as bulk and single-cell RNA sequencing, spatial transcriptomics, immunohistochemistry, immunoprecipitation, RNA-pull down, ChIP-seq, or CRISPR/Cas9-based gene editing etc. The exact
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bioinformatics, with a particular emphasis on performing analysis of high-dimensional data, which can be sequencing and/or imaging-based. Experience working with AI and machine learning approaches are considered a
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integrate complex biological data derived from sequencing and proteomic experiments. Work tasks As a Project Assistant, you will work under supervision to: Provide support to lab members with computational
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). Particular emphasis is placed on HPC-supported computing of sequencing data into assembled transcripts (de novo assembly is a frequent need), and further downstream translation of the ORFs of said transcripts
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bioinformatics, with a particular emphasis on performing analysis of high-dimensional data, which can be sequencing and/or imaging-based. Experience working with AI and machine learning approaches are considered a
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by using in vitro and in vivo models to recapitulate multiple steps of cancer metastatic events in real-time. Clinical samples from primary tumors and their metastatic descendants of the major cancer
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dissection Cultivation of various cell types FACS and cell sorting Molecular techniques such as genotyping, RNA sequencing, ATAC-seq — depending on project requirements Data analysis Additional