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contribution to marine conservation strategies. You will join a small but diverse and multidisciplinary team of research assistants, PhD candidates, residents (specialists-in-training), veterinarians
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candidate would become an ARIA R&D creator. Responsibilities: Conduct foundational research on aggregation mechanisms, including: for-mal modeling and axiomatic analysis, computational complexity and algo
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conducting lifetime modeling, developing advanced condition monitoring techniques, and applying data-driven analytics for lifetime prediction. You will play a central role in integrating experimental insights
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Vacancies Academic staff Support staff UT Student Jobs UT as employer UT as employer Employment conditions Career and development Pre and onboarding HR Excellence in Research Tenure Track PhD EngD
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In this role, you will be responsible of developing cutting-edge deep learning models for real-time image and video analysis (e.g., segmentation, object tracking, reinforcement learning), with
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research engineer with a passion for innovation and strong inter-disciplinary skills; PhD degree in Instrument or Analytical Engineering, Mechanical Engineering, Biomedical Engineering, Systems Engineering
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by the CCI are a major contribution to the evidence base used to understand climate change, which drives international action. Climate modellers use the ECVs to study drivers, interactions and feedback
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involved in the innovation and application of methodologies and technologies in the following fields: model-based engineering; modelling and simulation; visualisation by means of augmented reality, virtual
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neurosymbolic AI to extract information from unstructured text. Use NLP methods for modelling narrative text. The focus on each of these tasks can vary based on the expertise of the applicant. The University
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characterization of 3D structures using microscopic and tomographic techniques. You will also work with architects, designers, and engineers to develop biomimetic models of fiber-reinforced structures in order to