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Field
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well as resource limitations. The core research objective of this PhD is to design and evaluate “latency hiding” methods for immersive networked interactions. This involves (i) developing predictive machine learning
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with remote sensing data (satellite, aerial, hyperspectral, SAR, LiDAR) Computer Vision Natural Language Processing Remote Sensing Machine Learening and Deep Learning Reinforcement Learning Large
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and limitations arising from the use of AI-based methods in predictive feedback. The successful candidate will: explore how a combination of multimodal observation (audio, video, LIDAR, thermal vision
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on methods, frameworks, and architectures that transform stakeholder information requirements into interoperable semantic models, ontologies, knowledge graphs, and digital twin services. Particular
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Life and Health Sciences Research Institute (ICVS), from the School of Medicine (EM) of the University of Minho | Portugal | 2 months ago
of the University of Minho. Fellowship duration: The fellowships will have an estimated duration of 6 months, starting predictably in September 2026. In accordance with the FCT Research Fellowships Regulation
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with 5+ years experience OR Master's degree with 2+ years experience in Biomedical Engineering, Mechanical Engineering, Electrical / Electronic Engineering, Computer Engineering, HealthTech, MedTech
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-disciplinary team of researchers, including bioinformaticians, pathologists, oncologists, and computer scientists, and conduct original research on computational pathology. Digital pathology images contain rich
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enthusiastic Research Fellow to help in the development and application of novel 3D bioprinting methods for disease modeling and therapeutic tissues. The ideal candidate will report to the Principal Investigator
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an interest in investigating the effects of peatland restoration on hydrology and catchment biogeochemistry by means of a diverse set of methods, including field investigations, modelling and data-driven
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the effects of peatland restoration on hydrology and catchment biogeochemistry by means of a diverse set of methods, including field investigations, modelling and data-driven analyses. Your immediate leader