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bioinformatics. Post-Doctoral Associates conduct research and/or service that provides further development of career skills or allows them opportunities to learn new research techniques. They are trained by and
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, setting up and evaluating large field experiments for disease control, performing molecular biology, bioinformatics, and statistical analyses on experimental data. Preferred Qualifications: Experience with
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: • Expertise in metabolic research. • Experience with in vivo mouse models. • Proficiency in bioinformatics, proteomics, metabolomics, or other large-scale data analysis. • A track record of presenting
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creating gene knockout mutants. Data analysis includes bioinformatics (sequence data analysis) and statistical analysis. 30% Laboratory management: Order laboratory supplies, maintain lab equipment, organize
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, bioinformatics or similar degree or an equivalent combination of education and relevant research experience to equal four years. Proficiency in SQL (Structured Query Language) Experience with database security
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scales, to integrate data science, bioinformatics, computational modeling, and machine learning, and help create sustainable solutions to improve decision-making. Areas of research may include quantifying
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includes making agar plates for the lab. Lab experiments include culturing cells, making stable cell lines. Data analysis includes bioinformatics (sequence data analysis) and statistical analysis. 30
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for analysis of results and development of presentations and figures (e.g. MS Office) Preferred Qualifications: Familiarity with the Galaxy bioinformatics platform for running integrated workflows, generating
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Biology, Biostatistics, Bioinformatics, Computer Science, Data Science, or related discipline. * At least 1 year of experience in bioinformatics research. * Quantitative training with good understanding