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Field
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leading universities and non-academic partners will train 14 doctoral candidates in cutting-edge methods, theory, and transferable skills. More information may be found on the ENERPOL website: https
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/cancer-related work, advanced training courses (e.g., methods of data analysis and statistics, animal experimentation license, etc), participation in scientific programs, etc Education and training Have
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perform research on the neuronal correlates of the adaptation to accented speech. Research methods include electroencephalography and/or magnetoencephalography to assess neural response to continuous speech
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the objectives and methods of the thesis project with partners and stakeholders by adopting a mixed-methods approach. The recruited person will combine participatory mapping approaches, semi-structured interviews
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Brandenburg University of Technology Cottbus-Senftenberg • | Cottbus, Brandenburg | Germany | about 12 hours ago
them to work on innovative research topics and to develop and apply the scientific methods appropriate to their research topics. Course organisation During the three-year programme, doctoral students
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human perception and cognition. Experience in: experimental methods, computer rendering or VR/XR, programming. Affinity with multidisciplinary work, combining science, art, and technology. Enthusiasm
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/communication devices are still complex. Therefore, to overcome these challenges, the solutions have been pointed to separate the functionalities and the hardware dependency by applying virtualization methods
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develops an adaptive AI-guided XR platform for capturing and transferring expert manufacturing knowledge. Your focus will be on developing AI methods for analyzing and modeling human workflows based on data
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20 Sep 2025 Job Information Organisation/Company AMOLF Research Field Engineering » Computer engineering Engineering » Electrical engineering Researcher Profile First Stage Researcher (R1) Country
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networks (CNNs), which identify local correlations in the images. However, in this project, the aim is to go beyond standard CNN-based methods by developing new approaches based on transformers, and implicit