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engineering Engineering » Computer engineering Engineering » Knowledge engineering Engineering » Simulation engineering Researcher Profile First Stage Researcher (R1) Positions PhD Positions Country Portugal
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leveraging visual perception of human actions, object properties, and scene context. It integrates machine learning tools, knowledge representation, and robot actions design to develop decision-making
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tackles fundamental challenges in multimodal representation learning by developing novel approaches to align distinct embedding spaces from speech and sign language modalities. Sign languages encode
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, multimodal AI, or knowledge representation is also advantageous. Experience of collaboration with industry is a plus. Knowledge of Swedish language is considered a merit. Rules governing PhD students are set
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objects, by embedding them into a 2 or 3-dimensional space through a representation learning algorithm, has been widely used for data exploratory analysis. It is particularly popular in areas such as
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bridging theoretical physics and theoretical computer science. In the course of this, you will work on extending established techniques for quantum circuit representation and manipulation (e.g. diagrammatic
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neural representations (INRs). The intention ius also to explore hybrid models that combine the local sensitivity of CNNs with the global modeling capabilities of these emerging architectures. A central
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correlations in the images. However, in this project, the aim is to go beyond standard CNN-based methods by developing new approaches based on transformers, and implicit neural representations (INRs
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of Prof. Dr. Frank Cichos and Dr. Nico Scherf (Max Planck Institute for Human Cognition and Brain Sciences). The position is part of a collaborative project in the Center for Scalable Data Analytics and
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of: - adequate knowledge of the Italian language (only for foreign citizens); - level of knowledge of the English language (only for foreign citizens); ➢ having/having not previously received another scholarship