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English, which is required for academic writing and international collaboration. YOUR RESPONSIBILITIES You will prepare and conduct qualitative and ethnographic research on interreligious dialogical
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for future transmission systems as systematic, scalable and routinely applicable as RMS-based studies are today. This PhD aims to develop the computational foundations for scalable, automated EMT-based
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.• A specific PhD topic and a developed study design.• PhD training and intensive supervision.• Research infrastructure and training in its use.• Training and guidance in writing scientific papers.• A
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the rest of the EMLIT research team at least once every three weeks (a 40-minute train ride). Collaborate with the program’s three supervisors and two other junior researchers in the organization
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: •Develop a physics-based baseline time domain model for vibro-acoustic components using FEM/BEM and reduced-order modelling techniques. •Fuse sparse microphone or accelerometer data with model prediction
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‑situ digital working instructions (DWIs). However, current AR/VR solutions are typically developed as standalone applications, manually authored, and weakly connected to product‑level data. As a result
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Leuven campus at least three days per week, and travel to Antwerp for meetings with the rest of the EMLIT research team at least once every three weeks (a 40-minute train ride). Collaborate with
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conferences and workshops. Work on the Antwerp campus at least three days per week, and travel to Leuven for meetings with the rest of the EMLIT research team at least once every three weeks (a 40-minute train
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the energy market) and two companies: The Binding Energy and INEOS-INOVYN. FLEX-SMR will develop cost-effective, integrated solutions to provide flexible electricity and steam supply for chemical
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the privacy concerns, stigma, or practical limitations associated with camera- or audio-based monitoring systems. However, existing wearable-based eating detection approaches have primarily been developed in