37 parallel-computing-numerical-methods positions at Utrecht University in Netherlands
Sort by
Refine Your Search
-
Listed
-
Category
-
Program
-
Field
-
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
-
within the research programme are also warmly welcomed. The proposal should explain how the multidimensional research method is applied (as described in the research programme). In particular, we find it
-
to appropriately respond. The PhD project will take a unique, multi-method, and longitudinal approach. The basis for the PhD project will be a longitudinal cohort-study, where three groups of youth (starting ages 10
-
people across disciplines and with a variety of perspectives and backgrounds. The Faculty external link has six departments: Biology, Pharmaceutical Sciences, Information & Computing Sciences, Physics
-
recruiting participants, to conducting ego-centric network studies and experiments at Dutch schools and Dutch companies); You will use advanced statistical methods to process and analyze data (e.g., social
-
gradient that determines atmospheric water transport to extra-tropical regions. To this end, you will generate proxy data to assess temperature, hydrology and carbon cycle information. Methods might include
-
related field; experience with numerical modelling, preferably hydrological modelling; affinity with delta systems, adaptation and policy analysis; motivation to work in interdisciplinary scientific
-
Application deadline: 15 May 2025 Apply now Are you fascinated by the complex ways our social environments shape health? Do you want to develop cutting-edge methods to measure social networks at a population
-
programming skills (Fortran, Python or similar); affinity with spatiotemporal data analyses and numerical modelling; strong reporting and presentation skills; a good level of written and spoken English. Our
-
are not designed to produce reliable regional estimates of those phenomena. Therefore, small area estimation (SAE) methods are used. With technological advances, Big Data now offers valuable spatial