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Field
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, static user representations, and data sparsity. While deep learning models offer improvements, they often come with high computational costs and require frequent retraining, which limits their scalability
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MATCH consortium is looking for outstanding and motivated Doctoral Candidates (DCs) with the skills, knowledge, and enthusiasm to develop innovative and breakthrough research in the field
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methods to tackle challenges in scientific modeling. Affiliations: Technical University of Munich (TUM) & Helmholtz Munich Niki Kilbertus invites applications for a fully funded PhD position. We’re looking
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Virtual Training Environment (VTE) for disaster response simulation, integration of Building Information Modelling (BIM) with Structural Health Monitoring (SHM) using smart sensor networks, and resilience
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Virtual Training Environment (VTE) for disaster response simulation, integration of Building Information Modelling (BIM) with Structural Health Monitoring (SHM) using smart sensor networks, and resilience
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play a leading role in the Fraunhofer Institute for Applied Information Technology FIT (Branch Business & Information Systems Engineering) to commence as soon as possible as a fixed-term civil service
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Your Job: System design and implementation for an in-house X-ray beamline for long-term operando investigation of chemical hydrogen storage reactors Modeling and simulation of the beamline
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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
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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
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for an in-house X-ray beamline for long-term operando investigation of chemical hydrogen storage reactors Modeling and simulation of the beamline to analyze and optimize system behavior before physical