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Job Description The PhD student will participate in an international team in an EU-funded Doctoral Network project called MINDnet. The project consists of 15 Ph.D. students at 7 universities, one
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integrated circuits for enhancing computing efficiency through parallelism. The PhD student will participate in an international team in an EU-funded Doctoral Network project called MINDnet. The project
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materials exhibits prompt changes in magnetic, electronic, or optical properties upon stimuli and are promising candidates for applications in memory devices addressable by light, optoelectronics, and sensors
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/Postdocs and more senior scientists within the MicroAM project. Responsibilities and qualifications If you are you interested in numerical simulations of advanced manufacturing processes which involve
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PhD scholarship in Runtime Multimodal Multiplayer Virtual Learning Environment (VLE) - DTU Construct
Building Information Modelling (BIM) with Structural Health Monitoring (SHM) applying smart sensor networks, Internet of Things (IoT), and resilience-informed design platforms. Furthermore, REUNATECH pro
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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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measurement techniques/ sensors. Experience with system modelling and simulation (e.g., TRNSYS, Python, or similar tools). System and control engineering (e.g. digital twins, model predictive control) –pre
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activity in pathological and regenerative wound healing scenarios. The PhD project is part of the Marie Skłodowska-Curie Action Doctoral Network REMOD-HEALING, which aims to target extracellular matrix