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environments and inaccurate prior maps, to name a few. In order to cope with these challenges different methods will be developed. Knowledge of Bayesian methods for sensor data fusion, mapping and multiple
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of the research include: (1) Designing and executing methods to integrate data from different sources, including developing a Bayesian Hierarchical Modeling framework; (2) using integrative modeling approaches
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DNA nanoparticles for biomedical imaging and therapeutic delivery. The research assistant will lead multiple funded projects focused on nanoparticle sequence design, structural optimization, and
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manner suitable for publication. Skills in project management. Excellent time management and organizational skills. Demonstrated skill in prioritizing multiple responsibilities and tasks. Ability to work
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. The ability to work independently, manage multiple tasks, and communicate findings clearly is essential. About the Project: Novel GM interventions for mosquito control could represent a step change in
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, the candidate is expected to contribute to the development of novel workflows for joint inversion of multiple data types (e.g., borehole acoustic or seismic data) in the context of geosteering. The specific tasks
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., GAN and variational auto encoders), generative models for structured data (e.g., Bayesian networks), Blockchain-based decentralized trust computing, software engineering/model driven design and
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department in University at Buffalo – The State University of New York seeks applicants for multiple Tenure-Track Assistant Professor positions. Each position is a 12-month, tenure-track appointment
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disciplines, are well versed in multiple approaches and styles of thought. The goal is for the students to be comfortable communicating across traditional boundaries, especially across the divide between
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department in University at Buffalo – The State University of New York seeks applicants for multiple Tenure-Track Assistant Professor positions. Each position is a 12-month, tenure-track appointment