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of plants in greenhouse (hydroponic, soil culture) -Experience in conducting nucleic acid isolation and library preparation for high-throughput sequencing -Experience in bioinformatics -Experience in
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on bioinformatics analysis of spatial gene expression data as well as other modalities (i.e. microbiome; metabolites, proteins) generated using the Spatial Transcriptomics (ST) method, Spatial metaTranscriptomics
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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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, particularly microbial community structure and environmental adaptation Experience in handling large datasets is an advantage Experience with bioinformatic methods applied to genomics and/or metagenomics is
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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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activity. · Computational or bioinformatics experience for analysis of omics data. Required Application Materials: 1. Cover letter describing your background, programming experience, and research interests
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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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of peptide drugs as therapeutics. Performs biochemical, cellular, and molecular experiments to produce data for publication in support of the research program. Conducts computational and bioinformatic studies
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qualifications at the time of hire. ● PhD (or equivalent) in Computational Biology / Bioinformatics, Biomedical Informatics, Computer Science, Statistics / Biostatistics, Applied Mathematics, or a closely
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responses. Qualifications: A doctoral degree in a relevant field is required, preferably a quantitative field such as epidemiology, bioinformatics, statistics, computer science or engineering. The ideal