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                of smart technologies to visualize yard operations in a digital form (such as virtual models and digital twins). Smart technologies can collect, analyze, and represent data from various sources 
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                the previous point and the documents proving the conditions in this Notice, namely: a) Application for Application addressed to the President of the Selection Jury (model attached); b) Copy of doctoral 
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                , by sending email to Doctor Marta Lopes (E-mail: marta.lopes@fct.unl.pt ) and cc to j.elias@fct.unl.pt , mentioning the scholarship reference "Pacto Bioeconomia Azul – BI Mestre" in the subject line of 
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                for simulating flow and pressure response, as well as thermal storage. Also analyzing new and existing data and calibrating models. Duties of the position Complete the doctoral education until obtaining a 
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                of Engineering of the University of Porto (FEUP), under the scientific supervision of Professor Nuno Azevedo, Professor Jaime Cardoso and Doctor Joana Vilas Boas. Grant duration: Initial duration of 6 months, with 
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                Job Description Apply now Req Id: 37997 Job Title: Post Doc Research Assistant - BE City: West Lafayette Job Description: Job Summary The Department of Agricultural and Biological Engineering (ABE 
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                Skip to Main Content Toggle navigation Home Search Jobs Job Alerts Log In /Create Account Help PS Post Doc Res Assoc Bookmark this Posting Print Preview | Apply for this Job Announcement Details 
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                models to resolve blade loads and structural responses under both operational and extreme conditions, including scenarios with partial out-of-water exposure Uncertainty quantification to ensure robust and 
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                other multimodal datasets from simulation and experiment Develop benchmarking protocols and toolkits to evaluate AI models on materials science tasks as well as integrate your semantic-AI services 
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                Environment (VTE) for disaster response simulation, integration of Building Information Modelling (BIM) with Structural Health Monitoring (SHM) using smart sensor networks, and resilience-informed design