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://www.di.ubi.pt ), under the following conditions: Research Field: Machine Learning/Pattern Recognition Objectives: Unsupervised Incremental Representation Learning for Ground-Based Drones in Dynamic Industrial
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://www.di.ubi.pt ), under the following conditions: Research Field: Machine Learning/Pattern Recognition Objectives: Foundational Models for Human-Machine Interaction Work plan: The work consists in develop a system
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also capitalizing on research from various other subfields – educational psychology, sociology of education, design studies or computer science, and more recently, learning analytics and AI in education
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into the full autonomy stack Evaluate tradeoffs between learning-based and classical approaches and make principled architectural and design decisions Lead the preparation of publications, technical reports, and
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for submission to premier venues (CVPR, ICCV, ECCV, NeurIPS, ICLR). Convert research prototypes into scalable, deployable software systems or proof-of-concept demos. Design, code, and optimize robust deep learning
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learning, dynamical systems, sequence generative models and world modelling. Emphasis will be on methods that design and implement new architectures for latent dynamic modelling to enable identification
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to groom the next generation of leaders, thinkers, and innovators to thrive in the digital age. Located in the heart of Asia, NTU’s College of Computing and Data Science is an exciting place to learn and
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into emerging urban design practices, professional competencies, governance models, pedagogical innovation and regional urban transformation. Working within an international academic partnership, you will play a
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brings together researchers and practitioners to generate insights on social entrepreneurship, innovation and systemic change, translating these insights into learning and engagement at Oxford and
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interdisciplinary field of knowledge, building on learning-theoretical principles but also capitalizing on research from various other subfields – educational psychology, sociology of education, design studies