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Field
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that improve the lives of people with Parkinson’s disease. You approach complex challenges analytically and enjoy expanding both your technical and clinical expertise. You also thrive in multidisciplinary teams
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-preserving and capable of adapting to new environments without extensive retraining. Existing approaches often struggle with understanding complex human behaviour while satisfying privacy and real-time
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projects focused on real-world data analytics, health outcomes modeling, and biomedical informatics. Develop and apply advanced statistical and machine-learning methodologies to address complex health
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computational complexity and power consumption. The project will involve the modelling and characterization of RF power amplifiers, development of AI-based linearization algorithms, FPGA implementation and
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PhD Position Simulating the Airspace of the Future: Fleet & Network Optimization for Future Aircraft
other departments of the faculty of aerospace engineering. This PhD position is part of the Dutch Aviation Systems Analysis Lab (DASAL project, a flagship collaboration between TU Delft and Royal NLR
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quantitative imaging, stem cell biology, genomics and proteomics, we seek to understand how cells build robust genome maintenance programmes capable of supporting life from single dividing cells to complex
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PhD Position Simulating the Airspace of the Future: Fleet & Network Optimization for Future Aircraft
include other domain models for optimization (e.g. noise) in collaboration with other departments of the faculty of aerospace engineering. This PhD position is part of the Dutch Aviation Systems Analysis
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question remains largely unanswered: how can AVs interact safely and effectively with vulnerable road users (VRUs), including people with disabilities? Such interactions involve complex human decision-making
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processing Signal analysis and feature extraction from complex, temperature-dependent EM data Integration of sensing data with metallurgical characterisation and physical interpretation Development
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databases for aquatic invertebrate communities, prioritizing EPT taxa and, more specifically, caddisflies (Trichoptera) — a taxonomically complex group that is insufficiently represented in public databases