Sort by
Refine Your Search
-
– from the modeling of material behavior to the development of the material to the finished component. PhD position on physics-based machine learning modeling for materials and process design Reference
-
, and/or numerical mathematics, as well as an excellent command of a programming language, preferably Python or C/C++. The candidate should have an interest in modeling and solving a complex, coupled
-
group of Prof. Jörg Libuda. The position focuses on surface‑science studies on complex model interfaces for catalysis, energy storage, and the production of semiconductor devices. In situ infrared
-
bioactive molecules and are key players in soil ecosystems. They undergo a complex developmental life cycle including growth as filamentous networks and formation of unicellular spores, making them a powerful
-
the DFG Priority Programme “Molecular Machine Learning” and embedded in the research project “Multi-fidelity, active learning strategies for exciton transfer in cryptophyte antenna complexes”. The PhD
-
to give rise to living cells? By integrating traditional approaches—from structural and synthetic biology to cutting-edge computational modelling—our interdisciplinary team of molecular biologists
-
mineral surfaces Parameterize, set up, and validate molecular-scale models of complex soil-relevant systems Quantify structural, dynamical, and energetic properties governing water retention and soil
-
combines state-of-the-art computational multiscale modelling (using DFT/TDDFT methods, collision theory, molecular dynamics, stochastic dynamics, Monte Carlo and analytical methods) and its thorough
-
immunology, previous experience with the complex phenotyping of immune cells on a single-cell level and proficiency in working with in vivo animal models, including handling, experimental design and tissue
-
profiling integrated with trajectory inference and ligand–receptor/network modeling, the project will map how inflammatory signals reroute progenitor-to-effector differentiation, expand specific myeloid