-
-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
-
storage potential and future carbon removal and carbon farming policy scenarios. It integrates process-based knowledge with machine learning and especially aims to spatially quantify uncertainties. You will
-
the health and welfare of animals, humans and the environment are interconnected. By sharing our knowledge and working together, we make positive impact, both nationally and internationally. Our 1,500 students
-
-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
-
storage potential and future carbon removal and carbon farming policy scenarios. It integrates process-based knowledge with machine learning and especially aims to spatially quantify uncertainties. You will
-
what we are good at. We see that the health and welfare of animals, humans and the environment are interconnected. By sharing our knowledge and working together, we make positive impact, both nationally
-
(preferably python); has experience with methods and models to estimate techno-economic potential of renewable energy technologies; has knowledge and interest in the energy transition. Having detailed knowledge