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stimuli —enable whole-brain imaging of neuronal activity. This makes them an ideal model to study the neurons involved in these innate, evolutionarily conserved defensive behaviors. Your job As a PhD
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proxy data reflecting surface ocean changes, and simulations of sea level changes using comprehensive ice sheet models. The sea level in the Eemian was much higher than today, 3 to 6 m or even higher
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/ML) models can offer a solution here. This project aims to determine to what extent AI/ML models based on electrochemical sensor data are able to identify and quantify local forms of corrosion. We
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modeling, led by five team members. The current PhD position focuses on developing surveys and conducting statistical analysis of the unique microdata collected from households and firms across three
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environment perception in autonomous driving by integrating acoustics. Possible research directions include the use of audio-visual foundation models, audio-driven sensor fusion for object detection, cross
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–specific ways, and their downstream biological effects remain poorly understood. This project tackles this fundamental gap — by building computational models that simulate what goes wrong in the brain, one
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systematic investigation across diverse rock types and integration with predictive models remains lacking. In this PhD study, you will be performing experiments and numerical simulations to understand and
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into portfolio assessments and risk models. For instance, should a construction firm that actively reduces its environmental impact be treated more favorably than one with a higher emissions profile, even if both
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-cities in Asia and Africa, and suggest (if possible) solutions to ameliorate bad air quality during the fire season. You will combine the Dutch air-quality model LOTOS-EUROS with satellite observations, in
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critical role. The research will combine: Numerical modelling: develop and validate models to describe transport and separation mechanisms Experimental work: Design and operate and experimental setup using