4 parallel-"ENS" Postgraduate positions

PhD position - GPU-accelerated parallel training of physics-aware neural networks for blood flow prediction within the HDS-LEE graduate school

Forschungszentrum Jülich | Germany | 3 months ago

-aware learning methods with domain decomposition techniques, enabling parallel training and efficient GPU-supported implementation. Your tasks: Development of physics-aware ML models for 3D blood-flow

PhD position - Predicting the stress field in atherosclerotic plaque of arteries using scientific machine learning within the HDS-LEE graduate school

Forschungszentrum Jülich | Germany | about 2 months ago

strong background in applied mathematics Excellent programming skills (Python, C/C++) Good experience in machine learning and parallel computing Good organisational skills and ability to work both

PhD position - Linking rate manifolds to higher-order spike patterns across cortical layers and brain regions within the HDS-LEE graduate school

Forschungszentrum Jülich | Germany | 3 months ago

related in space and time and to behavioral events. Core Tasks: Getting familiar with the experimental data and the concepts of neuronal coding, and Elephant Analysis of the parallel rate data for

PhD position - Bridging classical and AI-based approaches for the analysis of massively parallel neural spike trains within the HDS-LEE graduate school

Forschungszentrum Jülich | Germany | 3 months ago

for doctoral researchers via JuDocS, the Jülich Center for Doctoral Researchers and Supervisors: https://www.fz-juelich.de/en/judocs Targeted services for international employees, e.g. through our International