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- INESC TEC
- CIIMAR - Interdisciplinary Center of Marine and Environmental Research - Uporto
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analysis, including 3D/4D visualization, segmentation, measurement and data interpretation using open-source and/or commercial software. ● Programming or scripting skills in Python, Java, C/C++ or similar
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digestive diseases, through intelligent visual analysis based on advanced Computer Vision techniques. Scholarship Duration: this scholarship will last for 12 months, from September 2026 to the end
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of the state of the art and definition of requirements; A critical analysis of existing approaches for robotic box handling, humanoid robotics, bimanual grasping, computer vision, and automation
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analysis; - Experience with scripting for automating experiments (e.g., Bash, Python) and data analysis/visualization (e.g., Pandas, Matplotlib); - Experience with Git/GitHub for code management and
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amplitude parameters; Developing Python software for the analysis, visualization, and processing of experimental data; Contributing to the implementation and optimization of data acquisition systems
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in applied optimization • Knowledge of digital twins • Experience in data analysis and visualization. Minimum requirements: • Experience in Python; • Knowledge of optimization algorithms; • Knowledge
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; - contribute to the manuscript to be submitted in the first quarter of 2027. 3. BRIEF PRESENTATION OF THE WORK PROGRAMME AND TRAINING: The Attention Atlas is a visual analysis tool designed for the multi-level
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MQTT, WebSockets, and VDA 5050; Visualization of 2D/3D data and maps using Three.js, WebGL, or equivalent technologies; Simulation and testing environments, such as Gazebo or Webots; Deployment and
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; • Experience in data analysis and visualization. Minimum requirements: • Experience in Python; • Knowledge of optimization algorithms; • Knowledge of modelling or simulation. 5. EVALUATION OF APPLICATIONS AND
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Research Grant Regulations (https://files.dre.pt/2s/2021/10/210000000/0013700149.pdf ). Workplace: The work will be carried out on-site at the Visual Computing Lab (NOVA LINCS – UAlg), Building 32, Room 1.50