Sort by
Refine Your Search
-
Country
-
Program
-
Field
-
. The Department of Chemistry and Materials Science is looking for: A Doctoral Researcher (PhD student) in Machine Learning for Surface Structures The Data-driven Atomistic Simulation (DAS) group, led by
-
Randomness and Structures; and Geometric analysis, stochastics and partial differential equations, interactions and applications . The starting date is flexible, preferably no later than September 2026
-
an excellent publication record. Solid research experience in one or more of the following topics is expected: Graph neural networks Optimization algorithms Predicting structured output Self-supervised learning
-
algorithms Predicting structured output Self-supervised learning Computational metabolomics Computational biomedicine Computational drug discovery Excellent technical and communications skills are required
-
research aims for a justified evaluation structure for sustainable and ethical material usage within a studio context. The starting point of this research is geopolymer experimentation that aims to develop a
-
design, spacecraft systems modelling, structural and thermal analysis, and mission performance verification. Together, these resources support the full development cycle—from early concept design and