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collaboration with the Air Force Research Lab (AFRL) Regional Network Midwest, is seeking a highly motivated postdoctoral researcher to join our team. This position offers a unique opportunity to work within
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levels. Apply a strong understanding of enterprise cybersecurity and technology security challenges. Utilize knowledge of computer network defense tools and processes, including leading commercial vendor
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registration, segmentation, and feature extraction with architectures such as U-Net and its 3-D variants in modern ML frameworks (e.g., PyTorch) - evidenced by peer-reviewed publications, preprints, or open
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, including the Polydiv2 and PI3 networks. About the role We are looking for a highly motivated PhD student to study the impact of genome duplication on volvocine algae, with a particular focus on
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of the research core (Longitudinal Network Core [LNC]). The individual in this position will be responsible for hypothesis driven analysis of RDAR Center data with outcomes from these being presented and published
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of network defenders, software developers and vendors, security researchers, AI practitioners, and policymakers. You'll get a chance to work with elite AI and cybersecurity professionals, university faculty
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of network defenders, software developers and vendors, security researchers, AI practitioners, and policymakers. You'll get a chance to work with elite AI and cybersecurity professionals, university faculty
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of network defenders, software developers and vendors, security researchers, AI practitioners, and policymakers. You'll get a chance to work with elite AI and cybersecurity professionals, university faculty
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of network defenders, software developers and vendors, security researchers, AI practitioners, and policymakers. You'll get a chance to work with elite AI and cybersecurity professionals, university faculty