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The University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | 11 days ago
will have an Open Rank faculty appointment that will come with an at-will Division Chief secondary appointment. The Division Chief must be a leader in our robust academic practice and promote
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speech technologies (ASR/TTS) into a unified tactical signal translation framework to ensure scalability, robustness, and continuity across project phases. Conduct system testing, performance benchmarking
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impact the safety of flight. The thesis shall develop robust state estimation methods by combining factor graph-based sensor fusion, variance component analysis, and modern deep learning approaches such as
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, veterinarians, and industry specialists to ensure the models are robust, scalable, and highly relevant to end-users. This involves integrating an unprecedented array of real-time technological and farm-based
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, analysis, and interpretation of computational and single-cell biology projects, ensuring high methodological standards, reproducibility, and robust analytical workflows. Responsibilities include: Leading
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strong commitment to innovative undergraduate instruction, robust research, and accessible scholarship. Candidates with ABD will be considered, although candidates with a Ph.D. are preferred. The expected
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on existing demand-optimized network models, the project explores multi-objective optimization strategies to assess robustness against environmental and demand fluctuations, with the aim of supporting
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the robustness and sensitivity using quantitative microbiological molecular methods for the lysis solution to process multiple sample types, concentrating on samples of tongue swabs, exhaled breath condensate and
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The University of North Carolina at Charlotte | Charlotte, North Carolina | United States | 5 days ago
appointment at the Associate Professor level, including a robust publication history in high- impact journals, successful grant funding, and evidence of research impact, as well as demonstrate excellence in
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fisheries modelling, data analysis, and stock assessment to generate robust evidence that informs management decisions. Working within the IMAS Fisheries and Aquaculture Modelling Program, the position