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around us? At Maastricht University, you will investigate how individuals differ in predictive processing by combining behavioural and neural testing with computational modelling. Together with colleagues
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is to investigate localized flow and crystallization processes of PCMs in devices under different conditions with advanced 3D imaging tools like CT and NMR imaging, and to couple this with performance
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, optically-pumped magnetometers, to understand how early learning develops. You will address how caregivers’ behaviour influences infants’ learning and how early differences in learning predict language and
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orders. Using 3D field recordings and environmental monitoring, you will uncover how different species behave in swarms, how they use sensory cues from their environment, bringing new hindsight about the
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difference frequency generation sources. You will perform multispecies detection in demanding applications such as environmental and exposure monitoring, and in the green hydrogen industry. Put your ideas
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response with fMRI in the context of different cognitive paradigms. What you’ll be doing Conducting data collection and analysis Writing of scientific papers; Presenting your findings; Teaching at Bachelor’s
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. Proficiency with at least one programming language (e.g., C++, Python, Matlab, etc.). Good written and oral communication skills in English. The following aspects will help you stand out: Thriving in
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with TMS at specific oscillatory states and measure the subsequent network response with fMRI in the context of different cognitive paradigms. What you’ll be doing Conducting data collection and analysis
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different species behave in swarms, how they use sensory cues from their environment, bringing new hindsight about the evolution of collective behaviour. You will deploy a multi-camera 3D tracking system in
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early differences in learning predict language and social skills later. Insights from this project can provide knowledge for early interventions to foster learning in infancy, with potential to support