571 data-"https:"-"https:"-"https:"-"https:"-"https:"-"https:"-"https:"-"https:" positions in Netherlands
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and disease development after infection with Phytophthora or Ralstonia . You will combine these phenotyping data with bacterial and fungal microbiome profiles to build predictive models of pathogen
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Are you fascinated by how curiosity shapes learning in the classroom? Would you like to investigate how children seek information, explore and learn in real-world educational settings? If so, then we
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fertility outcomes by quantifying the (un)predictable”. In particular, you will investigate the results and implications of the PreFer data challenge – a large data challenge that was held with hundreds
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in auditory neuroscience, neuroimaging, and AI/NeuroAI. In this role you will bridge human neuroimaging and computational modelling . You will collect and analyse neuroimaging data (7 Tesla fMRI
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of Earth Observation Programmes; Technology, Engineering and Quality; Controlling, Finance and Operational Procurement; and Operations, ensuring that all appropriate information is available to all Project
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and data analysis. You will design, build and operate a cryogenic experimental setup in which gas composition, pressure, flow rate and surface temperature can be controlled. Using optical imaging
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smarter recovery? Are you motivated to combine claims data, experiments and risk modelling to contribute to a more resilient built environment in the Netherlands? Are you our new colleague? We are looking
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understanding, data analysis tools, and forecasting models for science and expert users, and co-create common ground among stakeholders for future-proof coastal management. One the project outcomes is to explore
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investigate CO₂ desublimation under controlled cryogenic conditions. The project is primarily experimental, supported by modelling and data analysis. You will design, build and operate a cryogenic experimental
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digital signal processing. Using these synchronised measurements, you will develop methods to correlate information across time, frequency, space and impedance. The aim is to identify interference sources