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graft compatibility in allotetraploid rootstocks. Develop pipelines and workflows for genomic data analysis, integrating phenotypic and molecular datasets. Mentor and supervise graduate and visiting
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, creative start-ups, big data, big ambitions, hands-on learning, and a whole lot of robots, CMU doesn’t imagine the future, we invent it. If you’re passionate about joining a community that challenges the
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, creative start-ups, big data, big ambitions, hands-on learning, and a whole lot of robots, CMU doesn’t imagine the future, we invent it. If you’re passionate about joining a community that challenges the
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, creative start-ups, big data, big ambitions, hands-on learning, and a whole lot of robots, CMU doesn’t imagine the future, we invent it. If you’re passionate about joining a community that challenges the
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intensify interactions between offshore wind farms and the marine atmospheric boundary layer (MABL), with potential impacts extending into the atmosphere above and the upper ocean below. While many studies
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datasets and remote sensing products (e.g., satellite-derived indices, geospatial data analysis) is highly desirable. The selected candidate will also provide support (30%) to a second project focusing of
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interdisciplinary research, we contribute to energy-efficient and safe marine systems with reduced negative environmental impact – from ships and underwater vehicles to offshore structures and renewable ocean energy
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Neural Nets (PiNNs) or “ML inspired” traffic models. PhD2 focuses on data assimilation and estimating start and boundary conditions such as path-flows, and other key parameters and inputs. In your role as
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focuses on hybrid traffic flow modelling such as Physics inspired Neural Nets (PiNNs) or “ML inspired” traffic models. PhD2 focuses on data assimilation and estimating start and boundary conditions such as