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scientific research protocols, overseeing the precise execution of trial phases relating to animal nutrition, chemical analysis, aquaculture environmental metrics, and terrestrial/aquatic behavior
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, Physiological Ecology, Comparative Vertebrate Anatomy, Developmental Biology, Mammalogy, Ecology: Plant, Freshwater, or Wetland, Molecular, Biotechnology, Animal Behavior, and Population Biology Required
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Assistant / Associate Professor of Small Animal Primary Care The University of Tennessee - Knoxville: UT Institute of Agriculture: College of Veterinary Medicine: Small Animal Clinical Sciences
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Animal Clinical Sciences Location Knoxville, TN Open Date Jan 01, 2026 Description The Department of Small Animal Clinical Sciences of the University of Tennessee, College of Veterinary Medicine, invites
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operating procedures, working guidelines, and related documents. Perform and document daily animal health checks to assess animal behavior and well-being. Identify and report animal illness or
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ability to observe changes in animal behavior and maintain records of an animal’s condition is required. Must have working knowledge of typical tests or procedures relative to the field and must have
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ability to observe changes in animal behavior and maintain records of an animal’s condition is required. Must have working knowledge of typical tests or procedures relative to the field and must have
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positions involving animal subjects, basic knowledge of the general physical characteristics and behaviors of animals used in an assignment. An ability to observe changes in animal behavior and maintain
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California State University, San Bernardino | San Bernardino, California | United States | 6 days ago
sanitizing animal rooms and other areas as required. The student will assist in recognizing signs of illness, injuries, parasites, or unusual behavior in animals, or deviations in animal room environment
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using neural networks as models of human or animal behavior, or interpreting the representations and strategies of trained agents. Experience fitting reinforcement learning or sequential sampling models