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within livestock environments contains a wealth of information about animal behaviour, health and emotional state, yet it remains relatively under-utilised in commercial dairy systems. This PhD will
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: • Knowledge of fluid dynamics, especially experimental methods in atomisation and sprays. • Programming experience (e.g. Python, MATLAB or similar). • Experience with data analysis, machine learning
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++ • Experience with robotic systems (ROS, sensors, manipulators, or mobile robots) • Familiarity with computer vision or perception systems • Interest in autonomous systems and agricultural technology • Experience
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scales. 4. Establish comprehensive pond management guidance to maximise biodiversity at a landscape scale. Methods Secondary macrophyte and macroinvertebrate data of agricultural ponds where pond
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with honeybee colonies in field and laboratory settings. Ability to collect and analyse quantitative data. Desirable skills include experience with insect handling, microbiology, RT-qPCR, chemical
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master’s degree in economics, business, or any social science with the following: • Subject knowledge (economics, data science, agriculture, environmental science, or social science, structural equation