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Field
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mathematical and/or algorithm development backgrounds are especially sought. KIOS Research and Innovation Center of Excellence (KIOS CoE) The KIOS Research and Innovation Center of Excellence operates within
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researchers at IDLab. You will develop novel theoretical frameworks and signal processing techniques (traditional and/or AI based) for Near-Field ISAC in distributed cell-free 6G networks. The research will
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-granting course integrated into an educational project of a higher education institution, developed in association or cooperation with one or more R&D units in the aforementioned scientific areas. 3
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(e.g. Agentic Reinforcement Learning), evaluation, tool use, agentic harness, or retrieval-augmented systems. Internship/full-time experience from research, engineering, or algorithm-development roles in
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production. By developing hybrid architectures combining ontologies, generative models, reinforcement learning, and uncertainty quantification, the PhD project addresses the challenges identified by ICCARE in
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, focusing on the development of algorithms for proactive decision support in non-stationary warehouse environments. This project aims to study warehouse efficiency across interdependent processes – including
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Infrastructure? No Offer Description Challenge: Developing, operationalizing, quantifying, and embedding complex human and legal values into alignment pipelines for AI systems, open-weights, and foundation models
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. Integreat develops theories, methods, models, and algorithms that combine data with general or domain-specific knowledge, helping lay the foundations for the next generation of machine learning. Integreat
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artificial intelligence (AI) and an increasingly important force in a digital and data-driven world. Integreat develops theories, methods, models, and algorithms that combine data with general or domain
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surgical outcomes. You will work on the development of machine learning algorithms that analyze thermal data and predict vascular performance, significantly contributing to the automation of medical imaging