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Field
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Sciences Group: Pattern and Image Analysis – Lx Work Objectives: The main goal of DECOLLAGE is to develop new models, methods, and algorithms for language generation with higher-order cognition capabilities
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become more adaptive, efficient and context-aware, creating the foundations for the next generation of wearable and augmented reality platforms. The research focuses on developing novel ML methods
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problems. A key aim of this PhD is therefore to develop novel IRL algorithms tailored to this setting, capable of extracting hidden reward functions from real-world, imperfect data. This will allow us to ask
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. Analysis of images will investigate the efficacy of manual digital approaches (e.g., Dot Dot Goose) and the development of a marine litter characterisation and quantification algorithm for automated analysis
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and simulation, optimisation, development and laboratory testing of future aircraft electric propulsion drive systems. Candidates should hold or be shortly due to obtain a PhD in Electrical and
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Computational Circular Design: Development, scalability and computational efficiency of surrogate-assisted many-objective optimisation algorithms for circular design for disassembly (C3.5-AMR
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Associação do Instituto Superior Técnico para a Investigação e Desenvolvimento _IST-ID | Portugal | 24 days ago
to the activities to be developed in Portugal, with a particular focus on the port’s demonstrator. More precisely: Development of forecasting algorithms for different related variables, e.g., load demand, renewable
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tagging algorithm development as well as physics data analysis, with a focus on Higgs boson physics, top quark physics, and searches for new physics signatures. This is what you will do After the discovery
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are inherently highly complex. In this research project you will use state of art AI-based optimization algorithms to develop new functionality into industry-relevant digital design tools (CAD) to support
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systems, understand the design and development decisions that propagate social biases, and develop theoretical and algorithmic approaches to mitigate them. Key responsibilities include developing bias