4 deep-learning-phd Postgraduate positions

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

Forschungszentrum Jülich | Germany | 3 days ago

Your Job: We are looking for a PhD student to develop learning-based surrogate models for predicting stress fields in patient-specific arteries. Especially high stresses in plaque can lead to

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

Forschungszentrum Jülich | Lich, Hessen | Germany | 16 days ago

Infrastructure? No Offer Description Work group: JSC - Jülich Supercomputing Centre Area of research: PHD Thesis Job description: Your Job: We are looking for a PhD student to develop learning-based surrogate

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

Forschungszentrum Jülich | Lich, Hessen | Germany | 16 days ago

and ability to work both independently and collaboratively Experience with deep learning frameworks, such as Tensorflow or Pytorch is advantageous Experience in numerical methods for partial

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 days ago

Your Job: We are looking for a PhD student to contribute to the development of fast, accurate, and physics-informed machine learning models for predicting blood flow in patient-specific vascular