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, audio, and sensor data. These AI models move beyond conventional predictive and purely data-driven approaches by seeking to capture the underlying causal, spatial, temporal, and semantic relationships
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a nuclear reactor on a ship presents a fundamentally different challenge from controlling a land-based plant. A shipboard reactor must respond to a continuously varying electrical and propulsion load
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PhD Candidate to conduct research on Artificial Intelligence for managing Shipbuilding Supply Chains
knowledge of AI-enhanced planning in shipbuilding supply chains. Apply quantitative methodologies, such as simulation, analytical modelling, and AI‑driven techniques, to develop decision support for efficient
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of supercomputing. However, these type of simulations have been typically driven by idealized boundary conditions that do not represent the complexity and variety of atmospheric inflows that exist in the field. PHD
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future. They represent individuals driven by curiosity and a relentless pursuit of excellence. With us, they find the space to try things out and unfold their potential. Are you inspired by their passion
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within a research group with strong expertise in vascular access, large animal models and clinical translation. At the same time, you will be scientifically embedded in research groups at TU Delft focusing
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Requirements We are seeking an enthusiastic and results-driven candidate who meets the following criteria: A successfully completed MSc degree in: Agricultural economics, food and agribusiness, or sustainable
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Modelling To Support Systems-Based Pest Risk Management” Plant production in Europe is increasingly threatened by the emergence and spread of diverse plant pests, driven by factors such as global trade
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, enabling more frequent, scalable, and data-driven asset management. The project will investigate the integration of Axle Box Acceleration (ABA), Laser Doppler Vibrometry (LDV), and Track Geometry (TG) data
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. These differences are partly driven by genetic variation, which influences cellular pathways involved in toxicity. Understanding this variation is essential for developing future safety testing strategies