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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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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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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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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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mobile at times; Fit and healthy – free of charge preventive medical check-ups and a wide-ranging subsidised sports programme Work-life balance – flexible working time models, plus BGM (Betriebliches
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Integrated fluidic, electromechanical, and optical micro- and nanosystems Biomedical engineering Biophotonics Tissue engineering Targeted modulation of cells Drug design Computational modeling & AI Research
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The Network Analysis and Modelling uses machine learning to investigate how genetic variation shapes gene regulation, protein function, and, ultimately, observable plant traits. We are seeking a
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the training of state-space models Collaborate closely with our internal partners at PGI-14 (Neuromorphic Hardware Nodes) and international academic and industry partners Publish research articles and regular