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efforts to move the technology’s capabilities towards that of conventional digital data storage by developing and adopting existing bioinformatics tools for data encoding, decoding and error correction in
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bioinformatic approaches, and their functional characterisation. RESPONSIBILITIES: Planning, execution and analysis of experimental work Identification and prioritisation of genetic causes of non-obstructive
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For Someone Who • Has a PhD in computational biology, genomics, bioinformatics, microbiology, or a related field. • Is fluent in Python/R and Unix-based workflows. • Has experience with microbial genomics
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/ Multi-Omics Data Integration Candidates with a strong background in bioinformatics, computational biology or epigenomics. Desirable experience includes single-cell and spatial omics analysis (scRNA-seq
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experience in bioinformatic analysis (bulk RNA-seq, scRNA-seq, proteomics) Excellent teamwork and communication skills Solid experience with flow cytometry and fluorescence-activated cell sorting (FACS) FELASA
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chemical biology techniques, including LC-MS metabolomics, flow cytometry, mouse model studies, genomics, proteomics and bioinformatics. CORE JOB FUNCTIONS The fellow will investigate the role
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://www.hogberglab.net/ ). You will contribute to the ERC Advanced Grant project qScope , where you will create and improve existing bioinformatic tools and network algorithms to help us to map RNA or protein molecules in
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cytometry leading to publication in peer-reviewed journals is recommended. Preferred skills include experience with mouse models, bioinformatics skills (R, Python), background in T cell immunology, and a
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(bioinformatics) present results at group meetings, seminars and conferences and contribute to high-quality publications Your qualifications you are a motivated and enthusiastic scientist who can work independently
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assembling and analysing chromosome-level genomes Experience identifying genomic targets of selection Excellent molecular biology lab skills Excellent bioinformatic skills At least one peer-reviewed