Sort by
Refine Your Search
-
Listed
-
Category
-
Employer
-
Field
-
PhD Position on Modelling the Evolution of the Larsen C Ice Shelf Faculty: Faculty of Science Department: Department of Physics Hours per week: 36 to 40 Application deadline: 15 May 2025 Apply
-
Vacancies PhD Candidate Geospatial Risk Modelling for Climate Finance Key takeaways Effectively understanding and mitigating financial risks associated with climate change is important for
-
properties of catalysts together with statistical methods to derive predictive models for selective catalysis. In a data-driven approach, an initial set of reactions is analyzed and used to establish such a
-
programming and modelling complex (biological) systems, and in interpreting model output in terms of its biological meaning. You have strong collaborative skills and want to contribute to the project as whole
-
to train an AI model that predicts the cis-regulatory code for synthetic genomes (i.e. for cell-free gene expression systems) and correlates the experimental conditions within the synthetic cell
-
models combined with the finite element method. Constitutive relations are required to describe material behavior. Advanced stainless steel typically possess complex microstructures across various length
-
models combined with the finite element method. Constitutive relations are required to describe material behavior. Advanced stainless steel typically possess complex microstructures across various length
-
in the SPG. We will make use of models of different complexity up to complex Earth System models, and modelling efforts for different past periods. A personalised training programme will be set up
-
with researchers from climate physics, hydrology, sustainability science and complex systems dynamics and apply a range of different models. Starting from the recent AMOC tipping simulations performed
-
based hydrological modelling with observational data. The research involves setting up an integrated hydrological model that collects both vertical and lateral hydrological processes, from the atmosphere