Sort by
Refine Your Search
-
Category
-
Employer
-
Field
-
Infrastructure? No Offer Description Area of research: PHD Thesis Job description: Your Job: Energy systems engineering heavily relies on efficient numerical algorithms. In this HDS-LEE project, we will use
-
Design and implement clustering and integration approaches (e.g., network-based and subspace clustering) Use co-regulation networks for gene function and protein–protein functional relationship prediction
-
training strategy for these machine-learning tools, making use of existing model simulations and actively selecting new simulations where needed. Build and test a model “emulator” that can quickly explore
-
network approaches for stress prediction in arterial walls and plaque. Another part of the project is exploring the use of large language models to support neural network design and data preprocessing
-
for practical medical use. This project aims to create accurate and rapid surrogate models by combining physics-aware learning methods with domain decomposition techniques, enabling parallel training and
-
temporal codes. To ensure that these advanced models do not become opaque “black boxes,” we will integrate post-hoc explainability tools such as SHAP values (SHapley Additive exPlanations) Thrust C
-
biotechnological methods play a central role in this process. We are looking for a Research Assistant / Doctoral Student in applied Biotechnology or Chemistry (m/f/d) for the SuReMo research project
-
Aachen University. We offer ideal conditions for you to complete your doctoral degree: World class science environment at the interface between neuroscience and digital technologies, enabling scientific