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belowground; - development of SDM modeling structures that best reflect plant use of multiple resources (e.g., interactive vs. substitutable resources); - testing the application of resource colimitation theory
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contributing to the pedagogical practices of educators and learners. Models and addresses how to incorporate land-based education in the preparation and delivery of K-11 curriculum. Structured to encourage
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the candidate to benefit from complementary research environments, datasets, and expertise. As part of a structured doctoral training programme, the student will develop advanced scientific and analytical skills
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Research Assistant in Farm and Landscape management for sustainable land use transition and reduc...
the foundations for developing sustainable agriculture and land use through low-emission production systems and an integrated landscape management. We work with systems analysis based on models and GIS/database
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associated with this position involves working at construction sites, access to work areas by ladder, scaffold, hatchways, ramps, and similar means; outdoor work on a variety of floor and ground surfaces
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the foundations for developing sustainable agriculture and land use through low-emission production systems and an integrated landscape management. We work with systems analysis based on models and GIS/database
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functioning, promoting natural biopore formation, or modifying root exudation patterns to stimulate microbially mediated improvements in soil structure. Despite ongoing advances, significant knowledge gaps
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synthesizing findings with prior knowledge from the scientific literature, a process that today depends heavily on manual expert interpretation. Recent advances in large language models, agentic systems, and
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to the MSU Authority Having Jurisdiction governance model, and use this knowledge to better align the three efforts within the Construction Quality Assurance team to continually improve our culture, team
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Data-Centric AI. We aim to make large-scale ML more reliable, transparent, and aligned with human values. We are specifically interested in: Data-centric AI: Advancing machine unlearning, privacy