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World Heritage Site, and surrounded by stunning countryside. Our talented scholars and researchers from around the world are tackling global issues and making a difference to people's lives. We believe
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animals. Our strategy will allow us to compare stress responses and behavioural data between different species and classes of pathogens, leading to important synergies by using standardised methods
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imaging, computer vision, and predictive modelling. The postdoc will further develop an existing rumen‑fill scoring algorithm into a functional prototype and pilot the technology for longitudinal monitoring
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make a difference in the world! Position Information We are seeking a Postdoctoral Research Associate for the Texas A&M AgriLife Research and Extension Center at Uvalde . The Postdoctoral Research
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documented experience in computer vision, where the PhD project was fully or substantially method-focused on computer vision and/or AI-based image or video analysis have very strong knowledge of machine
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approaches applied to different science domains, such as chemistry, materials, physics, imaging, drug discovery, climate/weather forecast, etc. Knowledge of implicit deep learning models (NERF, neural
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recording, motion capture, eye tracking, physiological measurements, various types of brain imaging (EEG, fMRI), and rapid prototyping and robotics laboratories. Applicants are required to upload a research
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society. We are one of the largest, most international and most innovative employers in the region. With more than 6000 employees from 100 different countries, we are helping to build tomorrow's world every
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Responsibilities: Conduct independent research Report on results of the research in form of presentations, publications Develop and test AI models Innovate on different AI architectures Integrate AI models with
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representation learning. You have strong programming skills, especially in Python, and preferably experience with PyTorch. You have a track record of publishing in top image processing / computer vision journals