Sort by
Refine Your Search
-
Listed
-
Category
-
Field
-
genomics, proteomics, or metabolomics. Experience with relevant machine-learning frameworks, such as PyTorch, and high-performance computing (HPC) environments. Knowledge of molecular and cellular biology
-
training and resources in computational science, including high-performance computing (HPC) clusters. For more information about the DDLS program, see here. The employment In connection with your admission
-
experience in several of the following areas: Open source CFD, such as OpenFOAM Machine learning, deep learning, or reinforcement learning Scientific programming in Python and/or C++ High-performance
-
sensitive data, such as medical diagnosis. The focus of this PhD project is to develop methods for reducing the dataset size without significantly affecting the performance of a model trained on that data