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Field
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intervention. - Designing and evaluating socio-technical interventions – Prototyping and testing interventions, such as novel explainable AI techniques, to help humans effectively detect and mitigate bias in AI
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partners to reduce CO2 emissions in steel production using machine learning. You can find more information here . You will work on a theoretical and an applied project on data-enhanced physical reduced order
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aims to rethink how soft robots can interact with their environment, focusing on large-area, multi-point contacts—similar to how an elephant wraps its trunk around an object. Unlike traditional robots
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material that enables students to work together and learn how to understand and apply course material. Tutors work within a team to align on meeting course objectives, delivering tutorials, and grading
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trunk around an object. Unlike traditional robots, which rely on rigid links and localized interaction points, soft robots are composed of deformable materials that can conform to complex geometries and
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ambitions, goals, and strategies at a strategic level into a secure, cost-effective architecture that enables the university to achieve its objectives, anchored in the TU/e strategy. We are seeking
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learning Deep learning model generalisation techniques Translating deep learning models into clinical settings Experience developing deep learning models for real-time image/video segmentation, object
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the autonomous event reaction management part of the fault detection, isolation and recovery (FDIR) software. (a)Assessing the performance and fault tolerance of neuromorphic hardware The main objective
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became available for patients with specific SOD1 gene mutations (<1% of all ALS patients). The main objective of this PhD project is to develop gene-targeted therapies for newly identified ALS-associated
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VR content developer. This involves providing input on learning objectives, training methods, and activities, as well as giving feedback on the VR-based training environments. DECIDE is a European