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skills: Experience with agricultural plant sciences, plant genetic resources, row-crop agriculture, plant genetics, plant breeding, molecular biology, bioinformatics, and data management. Ability to curate
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approaches. Experience in single-cell bioinformatics, containerisation, and workflow development will be critical to the role, and we are interested in your ability to think clearly, learn new methods, and
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UT Health San Antonio Long School of Medicine | San Antonio Texas, Guanajuato | Mexico | 3 months ago
sequencing, proteomics, bioinformatics, and behavioral analyses. Current projects aim to identify the mechanisms driving synaptic dysfunction, neuroinflammation, and cognitive decline associated with AD and
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of therapeutic relevance to pancreatic cancer. Your qualifications should include: Ph.D. in Bioinformatics, Genetics, Genomics, or an equivalent field. Experience with common experimental techniques in molecular
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biocatalysis. The Research Fellow will help conduct large-scale bioinformatic, mechanistic, and structural analyses to elucidate the physical basis of enzyme activity; develop computational models that integrate
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data Contribute to study design, data interpretation, and dissemination of findings in high-impact peer-reviewed journals and present at conferences Required Qualifications: Ph.D. in Bioinformatics
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workflow, including library preparation, Illumina/MinIon sequencing, bioinformatics analysis, and pathogen identification approaches. Learn to evaluate, analyze, and interpret NGS data using appropriate
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in insect identification, insect rearing, behavior, and genetic and microbiological techniques, as well as fundamentals of statistics and bioinformatics. You will also have opportunities to develop
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assays for microbial quantification and aptamer validation. Prepare DNA sequencing libraries, including nucleic acid extraction, amplification, and library preparation. Conduct basic bioinformatics
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, bioinformatics, or artificial intelligence to join the Uterine Health Research Lab. This position offers a unique opportunity to develop and deploy AI-powered analytics infrastructure across gynecologic cancer