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staged performances with residents, policymakers, and other stakeholders. The position bridges performing arts, social innovation, urban research, and public policy to foster listening, empathy, and
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energy-efficient ship operation and the decarbonization of maritime transport, thereby supporting the broader green transition of the maritime sector. The duration of the position is 3 years. Your main
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whether innovative design, additive manufacturing of metamaterials, and numerical optimization can reduce material use without compromising, and ideally improving, protective performance. The position is
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, wearable physiological sensing, and machine learning to uncover how factors like fatigue and cognitive workload impact technician performance. Join us to develop predictive models that predict human error
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or park development, speculative fictions, performances, installations or exhibitions. Activities and outcomes will be developed by the PhD fellow in collaboration with community participants. The fellow
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aerial, marine, and heterogeneous robotic platforms. The goal is to advance the scientific foundations of embodied AI and develop intelligent robotic systems capable of reliable operation in uncertain and
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and accelerate the development of more high-performing PNSEs. The ultimate goal of the project is to develop, implement, and validate novel deep-learning models for molecular dynamics and coarse-grained
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modules, reasoning over structured graphs or rules, act as a factual verifier. The PhD fellow will perform the following tasks: Framework Design & Implementation, Reasoning Algorithms Development, and