Sort by
Refine Your Search
-
, and environmental impact Development of dynamic process models for electrified methanol processes under fluctuating power supply from renewable sources Simulation and optimization of the operating
-
4‑year PhD position in the area of machine learning and computer simulations. The focus of the PhD project will lie on developing machine learning models for clustering, classification, regression and
-
exploring its flight envelope by means of simulation. The software MAECOsim, DLR’s Multibody – Aeromechanics – Comprehensive simulation, will be provided and shall be used for this purpose. Scenarios with
-
. Simulated sensor data from a digital shadow will be incorporated to maintain cyber-physical consistency between the UAVs’ status in the model and in the real world. A key goal is to develop methods
-
engineering (e.g., software architecture, development processes, quality assurance). Very good programming skills (at least in Python and C++); ideally strong hands-on experience with ROS2. Experience in AI
-
of the re-entering vehicle. Multiscale simulations of the downstream expansion behaviour of the residuals for different atmospheric layers. Definition of suitable interfaces to process data for the climate
-
on the analysis and simulation of nonlinear partial differential equations arising in the context of interacting species study of interaction systems with applications to developmental biology, such as pattern
-
. Requirements: university degree (master or diploma) in chemistry or physics and profound knowledge in computational and theoretical physics/chemistry A sound knowledge of simulation methods and actinide
-
of Europe’s biggest research centers and help us to shape change! Are you excited about working at the interface of natural and computer sciences? At the Institute of Bio- and Geosciences (IBG
-
. Multiscale simulations of the downstream expansion behaviour of the engine exhaust plume for different atmospheric layers. Definition of suitable interfaces to process data for the climate models. Expected