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Field
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Hargreaves). While range shift lags are well documented across taxa and regions, we have a much poorer empirical understanding of the demographic processes explaining lags, hindering our ability to forecast
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the energy and physical resource consumption of AI models continues to scale, there is an increasing need for new computational paradigms that draw on the efficiency and parallelism of biological
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computer software for analyzing omics-based data sets [high-throughput, massively parallel genomic/proteomic/clinical]; Data management and analysis solutions that aid in the storage, investigation and
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, or pharmaceutical research. However, for many real-world applications, finding a solution requires powerful computer clusters that consume a lot of energy and run for long periods. Our project aims to create a
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capstone projects is preferred. Knowledge of parallel computing frameworks such as Apache Spark used in the program is desired. Strong understanding of data management, data processing, and data
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, and maintains large computer clusters/servers and software. Day-to-day operations of the systems including systems administration, monitoring and storage performance up to and including network
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languages (such as advanced type systems and functional logic programming) to bridging the gap between ad hoc array processing and formally verified functional programming using interactive theorem provers
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University of North Carolina Wilmington | Wilmington, North Carolina | United States | about 2 months ago
projects including genomics and bioinformatics, oceanographic and coastal modeling, computational models of chemical structures, video and photo processing, and sensor development. Many of these labs
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applications with related expertise. Experience with sequencing approaches to study RNA turnover or with massively parallel reporter assays(MPRAs) will be beneficial. Must Have Bioinformatics experience in
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, judgment, discretion, and work ethic. Ability to manage multiple processes in parallel while adjusting to contingencies Preferred Qualifications: Self-motivated, detail-oriented, and proactive. Experience