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. The researcher will use protein sequence and structure-based features along with protein language models to develop AI based predictors. The final stage will involve developing a diagnostic portal to identify
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/developmental biology and molecular biology such as techniques involving protein-protein interactions, transcriptomics, or single-cell sequencing. A track record of publishing research is also desirable
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, wastewater surveillance, genomic sequencing, and data collection, management and visualization. Why should I apply? Under the guidance of a mentor, you will gain hands-on experience to complement your
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the last 5 years or soon to be completed. Demonstrated experience in building machine learning/deep learning models using one or more large scientific data sets involving sequence, protein structures
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expertise in machine learning and/or Bayesian models is preferred. This position will involve both methodology development and analysis of multi-omic sequencing data, including spatial transcriptomic data
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peptides, including the design of de novo sequences based on the elucidated mechanism. The first step will be to develop a computational approach to determine the critical peptide properties required
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at scientific conferences aligned with business objectives. Uphold high standards of laboratory safety, rigor, and integrity in all experimental procedures and documentation. Qualifications Basic Qualifications
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an interdisciplinary cohort of postdoctoral associates at UVA. Other responsibilities to be detailed that align with the fellowship. Desired Skills and Experience Ability to administer, process, and analyze
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in normal intestinal homeostasis and perturbations that drive pathology, including risk for tumor development. Our research combines cutting-edge techniques, including single-cell RNA sequencing
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for Computational Biology and Bioinformatics (CCBB), and multiple NIH sponsored multicenter programs including the Alzheimer’s Disease Genetics Consortium (ADGC), Alzheimer’s Disease Sequencing Project (ADSP