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assessment of mutations) Demonstrated skill and practical experience in molecular biology techniques (e.g., nucleic acid purification, gene amplification and cloning, bioinformatic analysis of genomic data
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breeding and molecular biology. Learning Objectives: As a result of this experience, the participant will: Learn methods to conduct transformation of sugarcane, Learn genomics, bioinformatic methods
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. ? Prepare written reports (e.g., manuscripts, grants, patents) and presentations for meetings. ? Opportunity to teach and mentor junior team members. Requirements ? A PhD in Bioinformatics, Computer
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and present at scientific conferences Qualifications Basic Qualifications PhD in Computational Biology, Bioinformatics, Computer Science, Human Genetics, Toxicology, or related field (summer and fall
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computational (bioinformatics) tools on human and mouse tissues and using in vitro methods on human cells, to explore the consequences of genetics variants on human biology. This is a multi-year position
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research described above. Data collection, data curation, data organization and data analysis, bioinformatic analysis, run computational pipelines, survey literature. Properly document lab notebooks
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communication skills; commitment to a team-oriented environment. Desired Qualifications* Experience with single-cell genomics, advanced imaging, or bioinformatics. Proficiency in R / RStudio, Python, or similar
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, graduate, and undergraduate students, and a software and web engineer. Basic Qualifications PhD in Bioinformatics, Systems Biology, Evolutionary Biology, Microbiology, Epidemiology, Biostatistics, Applied
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blotting or ELISA for protein detection is highly desirable. Additionally, the ideal participant will demonstrate an interest in using bioinformatic tools for data interpretation and a commitment to
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to process tissue data reproducibly and at scale Conduct analyses using programming languages such as R and Python Collaborate with other laboratory members with expertise in epidemiology, bioinformatics