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Field
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fields: Agentic AI, Large Language Models, Artificial Intelligence, Biomedical Ontologies, Biomedical Knowledge Graphs, Computational Biology, Bioinformatics, Biomedical Informatics or a related field
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multidisciplinary research team Desired Experience: Experience with antimicrobial susceptibility testing, molecular microbiology, qPCR, biofilm assays, or bacterial genomics, bioinformatics Familiarity with
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publishing at least two first-author peer-reviewed articles from prior research Preferred (Desirable): Experience with bioinformatics procedures, specifically programming in R to analyze large datasets such as
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). Primary responsibilities include expanding bioinformatic approaches to process eDNA metabarcoding and qPCR datasets, quantifying fish prey community composition, and mapping predator-prey distributions
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sequencing data (e.g., Python, R, or bioinformatics pipelines). Strong record of productivity as evidenced by peer-reviewed publications or preprints. Ability to work both independently and collaboratively in
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. Qualifications Qualifications Minimum Qualifications: Education: A Ph.D. degree in a quantitative field such as statistics, biostatistics, bioinformatics, computational biology, human genetics, computer science
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using bioinformatics and molecular biology methods. The candidate will be responsible for using chemical tools to develop new nanocarriers with low toxicity and high delivery efficacy, and tackle
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using bioinformatics and molecular biology methods. The candidate will be responsible for using chemical tools to develop new nanocarriers with low toxicity and high delivery efficacy, and tackle
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microbiology, immunology, transplantation, genomics, and translational research; and hold a doctoral degree in Microbiology, Immunology, Molecular Biology, Genetics, Genomics, Bioinformatics, Computational
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mapping and genetic colocalization with GWAS summary statistics. Analyze *-seq datasets using standard and custom bioinformatics pipelines. Contribute to grant writing, manuscript preparation, and