Sort by
Refine Your Search
-
Listed
-
Category
-
Employer
- University of Groningen
- Utrecht University
- Wageningen University and Research Center
- University of Twente
- Leiden University
- Erasmus University Rotterdam
- Radboud University
- CWI
- KNAW
- Universiteit van Amsterdam
- ; Max Planck Institute for Psycholinguistics
- Radix Trading LLC
- University of Amsterdam
- 3 more »
- « less
-
Field
-
Organisation Job description As a researcher, you will play a key role in developing and implementing the DNPP’s research programme. Your responsibilities will include conducting independent and
-
sources. Such modelling provides essential tools for designing low-carbon, efficient, and adaptive energy infrastructures at local level. By leveraging data-driven methods, cities can devise strategies
-
like population growth, climate uncertainties and sustainability transitions. To plan resilient urban spaces that promote social cohesion and well-being in an inclusive way, new methods are needed
-
methods in psychopathology. The positions are located in the Department of Theoretical Philosophy ( https://www.rug.nl/filosofie/organization/departments/theoretical/ ) but there are strong ties with
-
the DROPapp by integrating local and scientific knowledge. In this project, you will integrate the local forecasts based on observed local ecological indicators and scientific forecasts based on numerical
-
between these important climate subsystems, using models of different complexity and a combination of mathematical, numerical and data analysis methods. You can find the other vacancy at PhD Position in
-
your motivation letter. This project is part of the 10-year EMBRACER research programme funded by the Dutch Research Council (NWO). At EMBRACER, we work at the very frontiers of knowledge on climate
-
working memory contents held within. Second, we will use computational spiking-neuron models to explain the results of the experiments and implement the neural mechanisms responsible. These models will also
-
- and knockoff-based methods that allow for relatively model-free inference. In this project, we aim to combine the strengths of these three frameworks into a novel and coherent whole. The project is
-
science, mathematics, physics, or a related field. You have affinity with numerical modelling, preferably atmospheric modelling or climate modelling, and mathematical theory of dynamical systems. You have