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human perception and cognition. Experience in: experimental methods, computer rendering or VR/XR, programming. Affinity with multidisciplinary work, combining science, art, and technology. Enthusiasm
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photonics or electrical engineering or applied physics or similar. Experience with machine learning, digital signal processing and experimental work is a plus. Further obligations: The doctoral candidate (DC
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) and satellite platforms, and surface energy balance models will be used to obtain evapotranspiration (ET); computer vision and machine learning techniques will also be used to identify and count fruits
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, and software engineering skills with prior experience implementing machine learning algorithms using well-known frameworks (e.g., PyTorch). Ability to work in an interdisciplinary team and interested in
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Daly, Associate Professor in Biomedical Engineering. The researcher will join Dr Daly's lab, which combines expertise in 3D bioprinting, tissue engineering, and biomaterials. The group leverages
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Academically relevant background within marine control/cybernetics, computer science, or hydrodynamics, with good skills in mathematics, programming, and machine learning. Master's degree in control engineering
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directly with designers, computer scientists, people with disabilities, caregivers, technology developers, and relevant stakeholders through co-design and participatory research. *A related PhD position is
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by detecting and predicting threats such as pests, diseases, and environmental stress in line with the UK Plant Biosecurity Strategy. The project harnesses computer vision, deep learning, and large
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GNSS, wireless navigation and machine learning is desirable Additional skills that are highly appreciated in this position are the willingness to work hard and to learn more about the fascinating
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engineering Engineering » Computer engineering Engineering » Knowledge engineering Engineering » Simulation engineering Researcher Profile First Stage Researcher (R1) Positions PhD Positions Country Portugal