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processes in Australia. The second will involve a climate or biodiversity deliberative assembly based in Europe. Your key responsibilities will be to: document and analyse existing models of MtHR and what is
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emotional development, learning, school readiness, and educational achievement) and AI models of detection and intervention (e.g., machine learning, large language models, neural networks). To offer a few
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epidemiological study designs and biostatistical modelling approaches to a broad range of health and environmental data. The team address policy relevant research with a focus on translating the results
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an individual with strong theoretical and modeling skills, with a strong background in using satellite data to construct predictive models that allow the early detection of tree diseases from space. The research
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Must be an Electrical, Aerospace, or Mechanical Engineering major Department Preferences: Experience using and flying drones (even recreationally) Familiarity with CAD modeling (SolidWorks or similar
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skillsExpertise in Generative AI: Strong background in machine learning, with specific experience in Large Language Models (LLMs), and Vision-Language Models (VLMs)Excellent programming skills (Python is required
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to stated and emerging concerns. Ability to use a range of genetic counseling skills and models to facilitate informed decision making and adaptation to genetic risks or conditions. Ability to promote client
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models to detect food safety compliance risks Integrate regulatory, environmental, and microbial data from food SMEs Design user-friendly decision support systems for inspectors and producers Co-create and
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Postdoc: Hybrid Geospatial Modelling and Scenario Development of Biomass Faculty: Faculty of Geosciences Department: Department of Physical Geography Hours per week: 32 to 40 Application deadline
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The Department of Psychology at the University of Michigan, Ann Arbor, invites applications for a tenure-track open rank faculty position, leveraging the latest generative AI models and methods in