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computer vision algorithms to detect clinical interventions performed by nurses and situations of agitation and risk of falling. Volume of data available for the project: Video capture in a hospital
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benefit from health insurance, supported by INESC TEC. 2. OBJECTIVES: Research and develop novel reliable deep learning computer vision algorithms for the detection and quantification of GIM lesions
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, Computer Engineering; Knowledge of C/C++ programming, etc., and of software development and integration will be valued; fluency in English (spoken and written); prior knowledge of Computer Vision, Computer
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experience in the fields of HRI, robotics, computer vision, or machine learning. Programming skills. Contracting requirements: Presentation of the academic qualifications and/or diplomas, if applicable
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) project aims to develop a system based on artificial intelligence (AI) and computer vision for the automatic detection of REM sleep behavior disorder (RBD)-specific behaviors in polysomnography (vPSG
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phases: 1) State of the art analysis • Survey of computer vision models applied to plant pathology and modern linguistic adaptation techniques for LLM/STT in European Portuguese. 2) Requirements survey and
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Institute of Systems and Robotics-Faculty of Sciences and Technology of the University of Coimbra | Portugal | about 2 months ago
motivation to work on this field. In cases where candidates have motivation to pursue a PhD in a related field and experience in Mobile Robotics, AI and Computer Vision, these should be clearly stated. Proof
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experience in the fields of HRI, robotics, computer vision, or machine learning. Programming skills. Contracting requirements: Presentation of the academic qualifications and/or diplomas, if applicable
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development of deep neural network architectures and algorithms for the implementation of dual process computation approaches that improve the ability of existing vision and language models to reason using
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: Experience in Computer Vision and machine learning. 5. EVALUATION OF APPLICATIONS AND SELECTION PROCESS: Selection criteria and corresponding valuation: the first phase comprises the Academic Evaluation (AC