20 computational-physics "https:" "https:" "https:" "https:" uni jobs at Forschungszentrum Jülich
Sort by
Refine Your Search
-
, graph neural networks, physics-informed ML) to approximate PF results Train models using simulation results generated from conventional power flow solvers Evaluate AI-based approximators in terms
-
science, engineering, physics, biophysics, applied mathematics, computational biology or a related quantitative field Strong background in deep learning for image analysis / computer vision, ideally on microscopy time
-
magnetometry data. Your Profile: You are studying computer science, physics, chemistry, materials science, nanoscience or a related subject at a university You have an interest and ideally also knowledge in
-
-hardware Your Profile: Master and subsequent PhD degree in (astro-)physics, computer science, engineering, or other related fields, with a strong focus on numerical simulations Experience in the development
-
Master`s program in the field of process engineering, chemical engineering, energy engineering, environmental engineering, or a related field Good knowledge of thermodynamics, process engineering, and
-
frequently investigated regarding their suitability for such a process. One disadvantage of these technologies is the high energy requirement during the temperature and pressure swings. Electrochemical
-
ongoing Master studies in the field of Data Science or a comparable field i.e. Electrical Engineering, Computer Science/ Engineering, Physics Strong mathematical background Interest in energy systems, power
-
with renowned astrophysicists and computer scientists in the DFG-funded “Dynaverse” Excellence Cluster You will invent, implement, and benchmark novel AI tools (reinforcement learning, physics-informed neural
-
program the memristors Operando characterizing the device electrically and morphologically using conductive atomic force microscopy (C-AFM) Access and active control of advanced experimental setups Your
-
or more of the following areas: + Quantum computing and quantum algorithms + Solid-state physics, computational materials science, or quantum chemistry + Battery materials modeling Excellent