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the laboratory manager and Principal Investigator. 6. Mining large sequencing data sets Department Specific Qualifications Education: PhD in Molecular Biology, Immunology, Physiology or related field Experience
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methods. Bioinformatic Analysis (Advanced): Proficiency in large-scale omics data analysis and relevant bioinformatics tools alongside integrative multi-omics pipelines. Programming (Expert): Extensive R
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responsibilities is not intended to be all-inclusive and may be expanded to include other duties or responsibilities as necessary. MINIMUM QUALIFICATIONS Ph.D. in relevant field, or PhD in molecular genetics
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. Teamwork: Ability to work collaboratively with others and contribute to a team environment. Technical Proficiency: Skilled in using office software, technology, and relevant computer applications
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Science, Environmental Science, Data Science, or other related fields Strong capabilities and demonstrated experience working with large climate datasets, high performance computing, and machine learning
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experience with AI model development, including fine-tuning, applying and evaluating large language models for tasks such as information extraction, summarization, and other biomedical or clinical applications
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for interacting with colleagues and stakeholders. Department Specifics Develop various machine learning and data mining models including convolutional neural networks (CNNs), Transformers, large language models
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data, and interpret results. - Experience with mouse models in the vascular field such as limb ischemia surgery, aortic crush and bone marrow collection. - Prepare and publish scientific manuscripts in
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will be responsible for spearheading the design and implementation of data analysis through open source or in-house developed pipelines, adapting and troubleshooting analytical methodology, and
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to apply for a faculty or staff position using the Career worklet, please review this tip sheet . The University of Miami Frost Institute for Data Science and Computing seeks a postdoctoral associate to join