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regions by developing interpretable and efficient methods in comparative pangenomics, leveraging machine learning methods, statistical analysis and efficient algorithm and data structures (https
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analysis, and other relevant functions of the laboratory. Experience with performing or analyzing bioinformatics of next generation sequencing techniques on DNA or RNA preferred. Job Description Job
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IOCB Prague (Institute of Organic Chemistry and Biochemistry of the Czech Academy of Sciences) | Czech | 2 months ago
simulations, and structural bioinformatics of proteins and other biomolecules – and we're now scaling that expertise to meet the volume and complexity of data these methods generate. This is not a conventional
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regions by developing interpretable and efficient methods in comparative pangenomics, leveraging machine learning methods, statistical analysis and efficient algorithm and data structures (https
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. This position will focus on designing, optimizing, and implementing chemical biology and sequencing-based approaches to better understand how RNA structure and dynamics influence protein recognition
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further develop and implement bioinformatic pipelines. For example, using AI we see opportunities to use the genomic data to train datasets for species identification and delimitation, such as image
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, and to study population structure and (adaptive) differentiation along elevational gradients. You will have the opportunity to generate new genome assemblies for white butterflies that are only found
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translation. The successful candidate will lead innovative projects integrating peptide chemistry, structural immunology, cancer biology, and translational immunotherapy. This position offers the opportunity
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a species of plants and investigate the genes using molecular biology techniques in the laboratory and analysis of DNA sequences using online bioinformatics programs. The individual will report
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/F) will work within the “RNA Architecture and Reactivity” unit and join the “Structure, Dynamics, and Targeting of Biomolecular Machines” team. This team currently consists of 6 researchers, 3