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experience in diagnostic assay development, next generation sequencing and bioinformatics pipeline development. A DVM or PhD is required for this position. This position will require attention to detail
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yet, and to see those tools deployed in real patient cohorts. Responsibilities Design wet-lab experiments for isolation, library preparation, and sequencing of cell-free DNA and RNA from clinical
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interactions. The ideal candidate will bring expertise in microbial ecology and microbiome sequencing and/or microbial metabolomics. This researcher would work across multiple projects that aim to understand
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associate to the group who specializes in microbiome science with an emphasis on host-microbe interactions. The ideal candidate will bring expertise in microbial ecology and microbiome sequencing and/or
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-insect community as a model for hypothesis testing in molecular evolution. The individual will use methods such as RNA-seq to identify genes and regulatory sequences that drive plant toxin detoxification
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Associate will design and execute experiments, generate and analyze high-throughput sequencing datasets, prepare manuscripts as first author, present findings at international conferences, and contribute
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strategies for vector-borne disease. The Postdoctoral Associate will design and execute experiments, generate and analyze high-throughput sequencing datasets, prepare manuscripts as first author, present
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-learn) applied to genomic/related datasets. Experience with sequence modeling architectures and interpretable AI methods (SHAP, Integrated Gradients, etc.). Demonstrated ability to stay up to date with
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experience with deep learning (DL) methods. Demonstrated proficiency in Python and machine learning frameworks (e.g., PyTorch, Jax, scikit-learn) applied to genomic/related datasets. Experience with sequence
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., transcriptomics, proteomics, metabolomics) - Microscopy methods, FT-IR spectroscopy, or other analytical imaging techniques - Analysis of next-generation sequencing data - Programming skills (e.g., Python, R