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faculty in developing theory and application tools for artificial intelligence (AI), and training efficient data analytics. 60% - Leading research in AI will include generative models, algorithms and
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field deployment 30% modelling of whole-farm greenhouse gas fluxes 20% analysis of trace gas flux data and model outputs 30% manuscript writing & publication Qualifications Required Qualifications PhD in
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and then model their space use and behavioral patterns. The post-doctoral researcher will also be responsible for coordinating a team to deploy and monitor behavioral playback cameras, developing a data
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, and data modeling skills. Knowledge of programming languages for database management. Ability to create clear and informative visualizations using tools like Tableau or Power BI. Ability to effectively
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complex financial and data analysis Excellent statistical analysis, data mining, and data modeling skills. Knowledge of programming languages for database management. Ability to create clear and informative
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are encouraged to pursue further training with the Geropathology Grading Platform on pre-clinical models of aging, leading to a PhD degree through opportunities funded by the Institute on the Biology of Aging and
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Job Code: 9521 - Research Assistant and 9529 - PhD Candidate Research Assistant Employee Class: Grad/Prof Student Position This position will provide support for lesson plan development relating
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Council, the project will integrate new data collections with existing datasets from recent studies and monitoring programs to understand how pond age, design and management influence trajectories of pond
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professor position in the broader area of Data Science for Agricultural and Ecosystem Sustainability with research and teaching (50%/50%) responsibilities. The goal of the Data Science for Agricultural and
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researchers in the Department of Neuroscience. Candidates with MD/PhDs and clinical programs are especially encouraged to apply. Applications are also invited from PhDs or non-practicing MDs who have a