Sort by
Refine Your Search
-
Listed
-
Employer
-
Field
-
We are looking for a talented and enthusiastic candidate for a fully funded 4-year PhD position. The PhD candidate for this project will be working at the RNA Structural Ensemble Dynamics group led
-
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
-
a dissertation? In that case, the position of PhD Predicting and Decision-making at the University of Groningen (UG) might just be what you are looking for! As a PhD candidate in prediction and
-
-resolution, open-access climate projection ensembles with statistical and machine learning-based resampling techniques (e.g., k-nearest neighbours) to simulate weather-dependent energy supply and demand
-
sources, and that the operations must be less predictable in their chosen transport means and locations. Thus, the goal is to explore reduced predictability while sustaining the units to be supplied
-
that limit their predictability and broader application. You will investigate the underlying mechanical principles—including contact stiffness, constraint geometry, and material interactions, in particular
-
change the ability of the ocean to absorb CO2 . The magnitude of this impact and the processes involved remain however difficult to predict. Also in the past, the strength of the AMOC varied and abrupt
-
-organising reaction networks and the emergent complexity in such systems form powerful reservoir computers capable of non-linear classification, times-series prediction and forecasting, on a par or even
-
provide intuitive, human-interpretable explanations for complex model predictions derived from Earth Observation data, including high-resolution satellite and aerial imagery. You will engage in a
-
weather prediction using Machine Learning approach (hybrid forecast). The app is also expected to be equipped with seasonal forecast for agricultural planning. You will co-design the short-, medium-, and