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of Science at UvA. What are you going to do? The aim of the project is to use advanced Machine Learning techniques to predict the anharmonic vibrational spectra of large Polycyclic Aromatic Hydrocarbon (PAH
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-based knowledge with machine learning. You will work closely with the Utrecht University team and OpenGeoHub together with other project partners, to develop and implement surrogate and hybrid modelling
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: 12 September 2025 Apply now Are you a data scientist interested in designing and implementing process-informed machine learning and uncertainties quantification methods? Join us as a postdoc and work
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shift is required in the organization of the logistics operations of educational processes to achieve a high quality situation where any learner at any time based on their own learning speed, level and
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biodiversity. Lastly, you will co-design and teach an educational module on dike vegetation and biodiversity. Where to apply Website https://www.academictransfer.com/en/jobs/354377/postdoc-position-plant
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-organise a theme day during a summer school (scheduled in 2027) on the role of dike grassland management in water safety and biodiversity. Lastly, you will co-design and teach an educational module on dike
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& Research encourages internal advancement opportunities and mobility with an internal recruitment policy. There are plenty of options for personal initiative in a learning environment, and we provide
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required in the organization of the logistics operations of educational processes to achieve a high quality situation where any learner at any time based on their own learning speed, level and ambition can
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difficult and the creation of more intelligent process control strategies and innovative methods of tracking reliability can be achieved with expert informed machine learning techniques, which offer more
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proficiency in English. A willingness to learn new techniques and approaches. Preferably international experience. Preferably experience with research activities in low-resource settings. Additional Information