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Field
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to the development of data algorithms and specialized computer software for identifying and classifying components of biological systems (such as DNA and protein sequences). Support the creation and maintenance
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are the following: Obtain and maintain regulatory approval. Set up screening algorithms to identify eligible participants. Recruit participants, collect/ process samples. Design data collection tools (e.g., redcap
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. Research will evaluate how to foster AI literacy and “appropriate skepticism” while examining the cognitive risks of overreliance, algorithmic bias, and data privacy in production animal surveillance
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. Norbert Perrimon’s group in the Program of Genetics at Harvard Medical School. Perrimon lab is actively generating data sets of omics scale and this position will involve working with other post-doc
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assessment, and hydrographic research. This role translates research algorithms into reliable, documented, and reproducible production software; collaborates with scientists, engineers, students, and external
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to support dynamic digital twin simulations. Multimodal Data & Sensor Fusion: Implement or accelerate processing and inference algorithms for real-time multimodal data, natural language, signal, and image
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evaluation of machine learning, computer vision, and other algorithms, primarily in the context of health. They will be part of the thriving research community of Duke Spark (spark.duke.edu) where AI
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human health behaviors, environmental factors, social and economic factors, policies and genetic determinants of health, into studies focused on the treatment and prevention of disease, as
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datasets and data models ● Experience working with a DBMS in both on-cloud and on-premise environments ● Experience in C++ programming ● Problem solving skills and ability to think algorithmically
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datasets and data models ● Experience working with a DBMS in both on-cloud and on-premise environments ● Experience in C++ programming ● Problem solving skills and ability to think algorithmically