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About us You will become part of a collaborative project team, consisting of a PhD researcher (you), a postdoctoral researcher, a junior researcher/research assistant, and three senior researchers: Dr. M. Donk, Prof. Dr. H. Slagter, and Dr. T. Knapen. You will be supervised by Dr. Donk and Prof....
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join a collaborative and interdisciplinary research environment with expertise in computer vision, pattern recognition, machine learning, bioinformatics, deep learning, generative AI, neuromorphic
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-centric AI and explainable decision-making? Are you intrigued by the role of human expertise in complex optimization? This PhD position focuses on bringing humans into the loop of optimization processes
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-functional coordination and process review activities across the Directorate, promoting efficiency, modernisation and coherent approaches to data, performance monitoring and business processes. By working
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for data-efficient vision foundation models. Foundation models in computer vision currently rely on massive datasets and brute-force scaling. This leads to high data requirements, hidden biases, limited
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acceptance remains limited due to insufficient meat aroma and persistent off-flavors. PBMAs are typically produced by texturizing plant proteins through extrusion or shear cell processing, both of which
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. PBMAs are typically produced by texturizing plant proteins through extrusion or shear cell processing, both of which involve elevated temperatures. Interestingly, the characteristic aroma of cooked meat
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18 Jul 2026 Job Information Organisation/Company Delft University of Technology (TU Delft) Research Field Engineering » Chemical engineering Engineering » Process engineering Researcher Profile
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? The NWA-ORC funded consortium project ABEL addresses this challenge by combining technology development with process modelling and assessment across the waste value chain. The members of the consortium
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Hydroinformatics – Uncertainty-Aware Optimisation for Robust Water Distribution System Operation The PhD candidate will develop uncertainty-aware, model-based multi-objective optimisation methods to support robust