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& informatics / AI/ML, chemical biology (proteomics), synthesis/data science, and separation sciences (high-throughput purification). In general, we are looking for candidates that can start in 2024 for all
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)therapies. These research lines comprise the usage and development of several computational approaches in the field of genomics and proteomics. The lab is well-equipped with computational resources, including
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Advanced skilled in molecular biology, cell biology, biochemistry, and proteomic techniques. The overarching goals of the laboratory are to 1) understand the mechanisms that regulate protein
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School of Engineering Sciences in Chemistry, Biotechnology and Health at KTH Job description The Division of Affinity Proteomics | KTH at the Department of Protein Science at SciLifeLab is
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and drug development. The unique infrastructure includes the application of unique chemical, genomic, proteomic, informatics, and high-throughput screening and engineering tools for the discovery
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Assists research studies with implementation of: existing algorithms and computer software for analyzing omics-based data sets [high-throughput, massively parallel genomic/proteomic/clinical.]; data
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of genomics and proteomics. The lab is well-equipped with computational resources, including five powerful high-performance servers. Responsibilities We seek a highly motivated and enthusiastic PhD student who
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includes a training and professional development component. Initial hands-on training (6-12 months) in proteomic methodologies, preparations, and analysis under the supervision of senior research staff will
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information about us here . In this project we will elucidate the prevalence of short linear motifs (SLiMs) in de novo proteins. We will use proteomic peptide-phage display for large-scale screening of SLiM
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-throughput datasets including metabolomics, proteomics, and transcriptomics. By aligning the model predictions with physical interactions between biomolecules, our approach ensures that the results are both