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This PhD position will advance our knowledge regarding environmental pesticide exposure and cognition in children. The project does two things: It analyses biomonitoring data of pesticide exposure
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neuroscience, cognitive science, experimental psychology, or a closely related discipline. They should have prior experience with the computational modelling of human behaviour and/or human neuroimaging (ideally
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applied mathematics, modelling, computer science, data science or a related discipline involving solid quantitative training. The expected skills are as follows: * Solid knowledge of mathematical modelling
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? To address these questions, the applicant will combine state-of-the-art emission models for photoionized, photodissociated, and shocked gas (CLOUDY, Meudon PDR, and Paris-Durham codes) to disentangle
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? Not funded by a EU programme Is the Job related to staff position within a Research Infrastructure? No Offer Description The candidate will develop mathematical models and algorithms aimed at optimizing
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relies on the thermo-structural modelling of instruments to maximise the signal-to-noise ratio and optimise performance within the mission environment, followed by experimental validation. Additionally
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models for the growth of polycyclic aromatic hydrocarbons (PAHs). Existing models will be updated with more accurate kinetic parameters to improve the understanding of the key mechanisms governing PAH
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underground mines and areas prone to rockfall. The work covers scene understanding with foundation models, navigation, and coordinated decisions within the robot team when communication is limited. Subject
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results within a University Platform Business Model perspective Where to apply Website https://concorsi.unict.it/ Requirements Additional Information Eligibility criteria Eligible destination country/ies
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are not fully integrated into the exploration of subsurface exploration workflows due to data resolution limitations and challenges in modeling. This knowledge gap limits our understanding of resource