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biology, bioinformatics, genetics, AI, machine learning, computer science, or a related field. Demonstrated experience analyzing single-cell and/or spatial genomics datasets is a plus but not necessary
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The Libault’s lab, University of Missouri - Columbia Job Description The Libault’s lab has two openings for Postdoctoral Researcher looking to harness their expertise in bioinformatics, computational biology
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culture, gene editing (CRISPR-based approaches), and molecular biology techniques Experience with ATAC seq, CHIP-seq, RNA-seq and bioinformatics analyses Mandatory experience working with animal models
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health To be eligible, candidates must: Have received a PhD in computer science, information science, bioinformatics, biostatistics, mathematics, nutrition, epidemiology, biomedical engineering, medicine
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biotechnological production of natural products • Experience with molecular biology techniques such as gene cloning, plasmid construction, PCR, RT-PCR, Western blots and bioinformatic skills to aide in experimental
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: Bioinformatics, Flow Cytometry, Immunology, Mammalian Cell Culture, Molecular Biology, Mouse Models, Sample Analysis Questions For frequently asked questions about the application process, please refer to our
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qualification in Genetics, Bioinformatics, Computer science, Data science, Statistical Genomics or a related discipline involving the interrogation of ‘omics’ datasets. Hands-on experience with large-scale human
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spectroscopy, flow cytometry, or single-cell analysis tools. Competence in bioinformatics tools for model refinement or omics integration. Overtime Status Exempt: Not eligible for overtime Appointment Type
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to long- and short-read metabarcoding, bioinformatics, qPCR or dPCR, primer and probe design, and gene cloning as well as work outdoors to apply treatments to field plots and collect samples for laboratory
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of developing computational tools to solve previously unattainable problems through creative use of big data in the biomedical and clinical research. Combining bioinformatics and experimental approaches