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will focus on developing novel AI-driven methods for modelling, estimation and control of brain dynamics – time-dependent patterns of neural activity fundamental to brain function, behaviour and
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the ecological conditions under which compositionality and dishonest signalling emerge in novel communication systems, using state-of-the-art swarm robotics models. Since there are no archaeological records
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Vacancies PhD position: Enabling Membrane-Based Industrial Effluent Reuse using Model Predictive Control Key takeaways The Netherlands is a water-scarce country. We therefore need to focus
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DFT modelling, are a plus. Project description and responsibilities The position entails the synthesis of new ruthenium-based photocages. You will be integrated in the MCBIM group (https
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. However, current estimates of methane emissions from inland waters to the atmosphere are highly uncertain because of limitations in long-term observational data and modelling methodology. In this four-year
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Your job Do you want to understand how precipitation extremes over tropical South America are changing in a warmer world? Do you like to perform data analysis on large atmospheric datasets? Then we
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PhD position on Modelling of Ocean Alkalinity Dynamics Faculty: Faculty of Geosciences Department: Department of Earth Sciences Hours per week: 36 to 40 Application deadline: 30 August 2025
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the seasonality of that precipitation. Past warm climates such as the Eocene provide natural experiments to test model performance in projecting non-analogue future global and regional hydrology and dependence
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) based on different climate scenarios. You will perform the model runs, analyse the results, and compare them to firn properties estimated from (airborne) radar observations and weather station
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the physical and biological pumps during rapid climate transitions (e.g., the last glacial period and Holocene) using sediment records. Our data will be used in marine carbon cycle models to predict