Sort by
Refine Your Search
-
Your Job: Energy systems engineering heavily relies on efficient numerical algorithms. In this HDS-LEE project, we will use machine learning (ML) along with data from previously solved problem
-
environment at one of Europe’s largest research establishments Your working place is at Forschungszentrum Julich (group of Prof. H. Hendricks-Franssen); regular exchange with RWTH Aachen (group of Prof. J
-
on model behavior. We will divide our work into three thrusts: Thrust A: A first major objective will be to augment classical spike train analysis methods particularly those developed by Prof. Grün and
-
: Design hierarchical models that explicitly capture misspecifications in metabolic models Develop differentiable and scalable inference algorithms using automatic differentiation Implement HPC-tailored
-
physics-aware simulations of growing cell populations, including their spatiotemporal manipulation in microfluidic environments Design and implement reinforcement learning algorithms for control and
-
cannot be used for participation in degree programmes which do not meet this requirement. Information on the quantitative distribution of CP can be found in the module overview of the degree programmes