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Field
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, longitudinal pattern mining, and explainable artificial intelligence for complex system analysis and understanding tightly collaborating with biologists and domain experts for iteratively refining models
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the freshwater sponge Ephydatia muelleri (Porifera) as a model system to uncover the cellular foundations of multicellularity in animals. We focus on two main areas: Cell adhesion and epithelial evolution
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Posting Title Commercial Buildings Postdoctoral Researcher Engineer – Building Science and Energy Modeling . Location CO - Golden . Position Type Postdoc (Fixed Term) . Hours Per Week 40 . Working
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University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | about 1 month ago
professionalism, enhance learning, and create personal and professional sustainability. We optimize our partnership with the UNC Health System through close collaboration and commitment to service. OUR VISION Our
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. This position offers an exciting opportunity to work at the intersection of HPC and AI, addressing critical communication bottlenecks and optimizing network interconnects for large-scale distributed systems
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, optimize, and analyze high throughput functional assays and pooled library screens Help with the validation of candidate variants and genes in mouse models Analyze data using relevant software and present
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, the appointee’s work will cover some of the following areas: Development of an isotope version of the process-based CH4 model and parameter optimization for different wetland types. Coupling the updated CH4 model
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testing, and advanced process simulation, with the objective of optimizing grinding performance and enhancing resource recovery. The ideal candidate will have a strong background in mineral processing
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of mining processes, mathematical modeling of flows and extraction decisions, and the use of machine learning algorithms to predict ore quality and optimize operational decisions. 2. Key Responsibilities
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. The postdoctoral fellow will lead a project focused on developing optimized strategies for observing, processing, and archiving the datasets from current and future large astronomical facilities, with emphasis