30 molecular-modeling-or-molecular-dynamic-simulation PhD positions at Chalmers University of Technology
Sort by
Refine Your Search
-
work will build on and extend an advanced in-house time-domain simulation tool for wheel–rail interaction and noise. The project is carried out in close collaboration with DB InfraGO, the German railway
-
PhD Position in Theoretical Machine Learning – Understanding Transformers through Information Theory
Transformers are central to many of today’s most successful AI models, from language understanding to computer vision. Yet, their success remains largely empirical, with limited theoretical understanding
-
for converting renewable aromatics from biomass into sophisticated chiral polycyclic structures with applications in medicinal chemistry and as molecular sensors. The position lies at the interface of organic
-
, modelling and safety” group conducts research and teaching activities along the following lines: reactor physics, reactor dynamics, reactor modelling, nuclear power safety, core diagnostics, and safeguards
-
simulations with advanced fluid modeling, the project will enhance our understanding of extreme particle energization events that impact infrastructure in the near-Earth space environment and on Earth. Who we
-
. This project focuses on modeling large-scale power systems with a high share of renewable generation. It will address key questions related to frequency and voltage stability under changing generation
-
spectral sensor data. By using absorbance data, you will train models to predict key water quality indicators such as nitrate, nitrite, and dissolved organic carbon in both freshwater and marine environments
-
, technoeconomic assessment, and multicriteria decision analysis to explore trade-offs holistically. Given the early development stage of next-gen batteries, prospective LCA will be used to model their large-scale
-
-fabrication processes for superconducting devices Automatic bring-up and calibration of quantum processors Design and simulation of quantum processors Optimal-control techniques for high-fidelity qubit
-
oscillation experiments provide key insights into the Standard Model. The success of these experiments rely on accurate theoretical models of neutrino interactions with nuclei—the building blocks