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. The central aim is to design intelligent systems that dynamically adapt the environment to support optimal learning conditions, based on real-time neurophysiological feedback. Key principles guiding
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, neuromodulation, electrophysiology and (f)MRI imaging Strong motivation to engage in groundbreaking preclinical research Collaborative and dynamic mindset with the ability to work both independently and in a
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include mental health, psychophysiology, daily life emotion dynamic (via ecological momentary assessment) and objective measures of sleep. Finally, interviews with stakeholders will also be organized
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large areas and in dynamically changing contexts. You explore new opportunities for wireless audio use cases enabled by the localization capabilities of wireless technologies. The focus will be
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necessity. You have an excellent command of English, both written and orally. You are comfortable with working in an international and multi-cultural research team that is dynamic in nature. You have some
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radar-based sensing. You will develop adaptive algorithms that dynamically select the optimal radio configuration based on the specific requirements of each application. The radio platform supports a
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): molecular analysis of microbial community composition ILVO Plant (and Laboratory of Agrozoology, FBE-UGent) (prof. Wim Wesemael): biology and management of plant-parasitic nematodes, morphological and
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closed-loop control. The technology, developed through detailed computer simulations, will be validated with preclinical experiments. The candidate will be part of a multidisciplinary team working towards
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) is seeking a highly motivated PhD candidate to work on multitemporal terrestrial laser scanning for better understanding forest structural dynamics. YOUR JOB Forest ecosystems play a crucial role in
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a virtual replica of a physical system updated with actual sensing information and simulated in synchronism with its physical counterpart. Digital twins can provide deep insight in the behavior and