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application! We are looking for a research engineer within the Division of Statistics and Machine Learning (STIMA) at the Department of Computer and Information Science. In this position, you will have the
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tasks: You will work together with renowned astrophysicists and computer scientists in the DFG-funded “Dynaverse” Excellence Cluster You will invent, implement, and benchmark novel AI tools (reinforcement
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agriculture (CEA) by applying artificial intelligence, computer vision, and mechatronics for hyperspectral plant monitoring. The Research Associate will contribute to developing AI-enabled systems for plant
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in a part-time or full-time academic career in teaching, research, and service in construction methods and materials; building architectural, structural, mechanical, plumbing, and electrical systems
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employment. Individuals with expertise in relevant modeling methods are encouraged to apply, including but not limited to integrated assessment modeling, energy systems modeling, supply chain modeling, etc
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into their models; or 2.Computational social scientists with experience in empirical research and/or theoretical modeling, who are motivated to incorporate their methods into energy modeling. All applicants must
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behavioural experimental design and statistical modelling; computer vision and AI techniques; explainable AI and human–machine comparison methods; and responsible innovation. The student will work closely with
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machine learning models to estimate individual numbers and distinguish species in complex field conditions. The resulting methods could later be applied to monitor waterfowl and scavengers in Lough Neagh
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theorem provers such as Coq or Isabelle/HOL. Proof Automation. We plan to develop formal methods for automatic reasoning that can be materialized into commercial tools. Responsibilities Participate in and
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, KY Grade Level 40 Salary Range $15.30-24.50/hour Type of Position Staff Position Time Status Full-Time Required Education AA Click here for more information about equivalencies: https://hr.uky.edu