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Field
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scanning and measurement, garment fit evaluation, cloth simulation, digital twins, wearable sensing, smart textiles, and AI methods for clothing and body data analysis, to name a few. Applicants from
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to internal and external constituents of the Energy Policy Center (EPC). Models techno-economic strategies for energy systems. Develops seminars, workshops and educational materials related to research and
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narratives through participatory research methods and stakeholder engagement. Apply spatial modelling tools (e.g., GIS) alongside AI-based techniques to generate risk and vulnerability maps. Analyze and
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methods to produce more accurate, equitable, and clinically useful models. The project offers opportunities to work with large linked electronic health records, advanced statistical methods, simulation
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activate spinal networks. This PhD project aims to investigate the underlying mechanisms of rSynES-induced recovery using a mouse model of cervical SCI, through longitudinal assessment of molecular and
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-of-the-art multi-scale electrophysiological data using modern analysis techniques construct data-informed stochastic and deterministic simulations of activity data to model observed dynamics and to assess
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planned for the next decade About your role: understanding and identifying the electromechanical accelerating cavity system designing, simulating, implementing, and testing novel system identification
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assessment (high consideration is given to experiences with integrated and state-space models, simulations and management strategy evaluations), a good scientific publication record. Experience in marine
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hiring a doctoral candidate on the subject "Foundation AI models for distribution systems decision-making ". Foundation models have recently emerged as a new learning paradigm in AI. These models learn
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laboratories. The topic of the doctoral research will on development of efficient and scalable search engines. This entails design of new retrieval models, efficient query processing, and use of modern hardware