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- Delft University of Technology (TU Delft)
- Delft University of Technology (TU Delft); yesterday published
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- Delft University of Technology (TU Delft); Delft
- Delft University of Technology (TU Delft); 16 Oct ’25 published
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such as Neuro-AI, AI for Medicine, AI for Biodiversity, Systems Biology, and Algorithms. Develop strong links with partners across the Faculty of Science and Engineering — including Advanced Computing
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Hunger Lab at Tilburg University, and four industry partners. In this project, you will develop and advance optimization models and algorithms to support decision-making in food supply chains, with
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match human expectations. It is a major challenge to develop agents and frameworks that account for uncertainty, risk and interaction in the way humans do. As human behavior depends on a tightly
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. You will take the lead on applied physics, mechanics, manufacturing processes, and algorithm/coding development within the bioprinting domain. This position is part of a larger, EU-funded Horizon Europe
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new generation of perceptual foundation models by contributing advanced perceptual pre-training and fine-tuning algorithms. What you will do You will carry out research and development in the areas
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, and translational research. Proven analytical skills and experience in experimental research. Experience in software development (e.g., treatment planning tools, imaging algorithms, AI-based
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-tuning algorithms. What you will do You will carry out research and development in the areas of perceptual foundation models, using advances in deep machine learning and computer vision. The goal is to
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. The research unit Intelligent Systems (IS) in Computer Science is focused on the development of Data Science, Pattern Recognition and Machine Learning algorithms for interdisciplinary data analysis. For more
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across domains. The research unit Intelligent Systems (IS) in Computer Science is focused on the development of Data Science, Pattern Recognition and Machine Learning algorithms for interdisciplinary data
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ability to effectively deal with external developments such as staff shortage. This will be based on insights into the characteristics of operations, and attributes (e.g., learning demand, availability