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research institute. We offer: Access to our GPU-accelerated HPC cluster and laboratories with cutting-edge sequencing technologies and molecular assays. A dynamic, innovative and creative research
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(e.g., electrophysiology), as well as optimally leveraging integration with existing genomics datasets. The role is focused on computational analysis and supporting model development as part of a
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Department of Stem Cell and Regenerative Biology at Harvard University, is working to identify the mechanisms controlling mammalian brain development and to define cellular and molecular pathways disrupted in
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) has long been a pioneer in developing and applying Artificial Intelligence (AI) to advance research in genomics, structural biology, and drug discovery. Innovative AI models like AlphaFold have
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) has long been a pioneer in developing and applying Artificial Intelligence (AI) to advance research in genomics, structural biology, and drug discovery. Innovative AI models like AlphaFold have
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programming skills in Python and familiarity with modern ML tooling and reproducible research practices Experience training and deploying machine-learning models on GPU-based systems; familiarity with HPC
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the university’s growing research enterprise in large-scale precision medicine, clinical AI, and genomics. This cluster forms a cornerstone of UTA’s RISE 100 initiative and its strategic expansion in
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training and evaluation workflows and work with project partners to make models and associated tools usable beyond the immediate research setting. You will not work on an isolated AI benchmark. ARCA
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, physical, and health sciences will be considered, with a particular interest in functional genomics, biomedical science, and biomedical data analytics. More information on our research strengths can be
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available through the Biomedical Research Institute, while contributing to a collaborative environment that advances scientific discovery, graduate education, and externally funded research. Due to the