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Postdoctoral Research Associate for a one-year position to support interdisciplinary research at the interface of data analytics, modeling, and agricultural/environmental systems. The position focuses
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knowledge (R, Python, or other programming languages) or ability to learn. Excellent oral communication and written skills in English, with good organization, attention to detail, and analytical abilities
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Description: Design and Implement Hybrid Data Architecture: Evaluate, configure, and manage cloud-native data warehouses for scalable spatial analytics Design data flows from warehouse to spatial databases
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sequencing data and cutting-edge spatial omics data generated using technologies such as 10X Visium and Xenium. The researcher will lead efforts in integrating multi-modal biomedical data with histological and
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MDP course Development Theory and Practice AND co-teach the core MDP course Conservation and Development Practice. In Spring, the Instructor will teach the core MDP course Foundations of Economic
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, email addresses, and phone numbers. Application must be submitted by 11:55 p.m. (ET) of the posting end date. Final candidate will be required to provide official transcript to the hiring department upon
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postdoctoral associate positions, starting immediately. Dr. Liu has extensive experience in big data analytics, systems biology, probabilistic graphical models, causal inference and machine learning. Dr. Liu's
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researchers during software development. Lead and participate in the design, implementation, and reporting of research and evaluation studies. Contributions to scientific reports, conference papers, journal
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number of angles, including the relationships between planetary system architecture and stellar host mass, age, and multiplicity. Planetary system architecture includes number of planets, orbital spacing
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) that far exceeds the number of microbial NPs known to date. It is now possible to map the global microbial NP landscape and predict their structural complexity and rich functionality by genomics