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Field
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operational safety levels of track and vehicles. Here, the project will take a hybrid approach in combining physical simulations and data driven analyses (featuring AI/ML as well as ‘traditional’ statistical
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response, approaches such as Design for Values (DfV) and Value Sensitive Design seek to embed moral values like privacy, justice, and sustainability directly into the design process. But while DfV has many
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. Candidate should have an affinity for multidisciplinary fields of research and a hands-on attitude towards experimental work. Computer skills in simulation and modelling are also desirable. We expect
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, floods Specific Requirements Titulaire d'une thèse en informatique, de préférence en lien avec les jeux sérieux et/ou la modélisation et simulation à base d'agents. Research FieldComputer science
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. Experience with EMT simulation tools, frequency-domain modelling, real-time simulation or hardware-in-the-loop environments is highly valued. Beyond technical excellence, we seek candidates with intellectual
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models). Climate emulators for wave and sea level simulations. Use of Linux-based numerical computing servers. Specific Requirements Knowledge: Coastal morphodynamic processes at different time scales
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, and linked to individual identity. The TREM project aims to better understand the processes underlying the transition from traumatic autobiographical memory to resilient memory, placing central emphasis
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Inria, the French national research institute for the digital sciences | Villeneuve la Garenne, le de France | France | 2 months ago
of Copenhagen (UCPH), alongside Universidad Rey Juan Carlos (URJC, ES), University of Twente (UTWENTE, NL), Copenhagen Academy for Medical Education and Simulation (CAMES, DK), InSimo (FR), AMBU A/S (DK) and
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. QUALIFICATIONS • PhD in Biological Sciences, Chemical Engineering, or related fields • Strong background in microbiology and quantitative analysis SKILLS • Microbial cultivation and bioreactor operation • Ability
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intelligence. Our research spans computer vision, machine learning, and natural language processing, focusing on multimodal learning, data fusion, spatial-temporal modeling, and vision–language models. We study