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Learning and Computer Vision Objetives: This work aims to study, develop and implement computer vision methods to detect and classify areas with imaging alterations from MRI and CT scans
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: Research Field: Machine Learning/Pattern Recognition Objectives: AI-based module for energy consumption and quality control optimization. Work plan: The planned work involves collaboration in the process of
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: Research Field: Machine Learning/Pattern Recognition Objectives: AI-based module for energy consumption and quality control optimization. Work plan: The planned work involves collaboration in the process of
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Pose EstimationStrong background in computer vision and machine learning applied to pose estimation and visual servoing; Experience with OpenCV, PCL (Point Cloud Library), PyTorch/TensorFlow, and 3D
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manufacturing, health and transportion: Interperability of systems Data Management Big data analytics AI and Machine Learning Experience in the organization of international events such as workshops and
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Engineering/ Electrical Engineering. 2. Admission Requirements: Bachelor's degree in Computer Engineering, Systems and Information Technologies Engineering, Electrical and Computer Science Engineering, or in a
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for developing machine learning models for the automatic identification of species from images collected through electronic monitoring systems (Work Package 3 – Bycatch Monitoring). The candidate will be involved
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Universidade Lusófona´s Research Center for Digital Human-Environment Interaction Lab | Portugal | about 1 month ago
Python Machine Learning Libraries (PyTorch, Keras, etc.); statistical and machine Learning expertise and supervised and unsupervised methodologies; Valuable Bonus Skills include: experience with Unity3D
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, of 28 of August, and also the provisions of article nº 9 of the Scientific Research Grant Regulations of the University of Aveiro. 5. Work Plan: Intelligent and modular controller with machine learning
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CIIMAR - Interdisciplinary Center of Marine and Environmental Research - Uporto | Portugal | 5 days ago
research in microbial genomics, in particular related to natural products biosynthesis and using metagenomics and genomics datasets. Experience in machine learning and the application of artificial