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Field
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other field or laboratory instrumentation Apply appropriate behavioral, statistical, econometric, causal, spatial, machine learning, deep learning, computer vision, time-series, or mixed-methods
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, behaviorally-mediated acoustic observations into estimates of the number of individuals present. We seek a postdoctoral associate to collaborate with us on developing approaches that translate acoustic
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online state estimation. Part of the project will include locomotion in challenging terrain and interaction/manipulation with the environment. You will be responsible for the design, development
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. Work will emphasize the development and analysis of advanced methods in areas such as sparse signal recovery, compressed sensing, and statistical estimation, with a particular focus on their role in
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University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | 3 days ago
Dependent on Experience and/or Qualifications Proposed Start Date 12/01/2026 Estimated Duration of Appointment 12 Months Position Information Be a Tar Heel! A global higher education leader in innovative
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University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | about 14 hours ago
Dependent on Experience and/or Qualifications Proposed Start Date 12/01/2026 Estimated Duration of Appointment 12 Months Position Information Be a Tar Heel! A global higher education leader in innovative
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funded through the EU Research Framework Programme? Not funded by a EU programme Is the Job related to staff position within a Research Infrastructure? No Offer Description Leverage computer vision, smart
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Equation, Stochastic simulation algorithms, and approximation methods. ● Experience with single-cell or spatial transcriptomic data analysis. ● Familiarity with machine learning and deep learning
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extensive experience in the application of molecular dynamics simulations to molecular systems, ideally in both methods and applications. Experience in biomolecular simulations particularly nucleic acid
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-temporal context and their environment. ECO-EVO BIODIV draws on a wide range of conceptual frameworks, approaches and methods from an interdisciplinary perspective. Within the framework of ECO-EVO BIODIV