Sort by
Refine Your Search
-
high accuracy in the early stages of next generation manufacturing process, and across many different usecases. As the process matures and enters high volume manufacturing, these models can be
-
complexity of genetic evaluations are expanding rapidly. For example, for methane emission different recording techniques might be used, records might be collected at different biological stages or in
-
the consequence of selection and the best strategy for recording traits and optimizing selection decisions. For example, breeders must carefully assess risks and the trade-offs of selection for different traits
-
publications at top-tier venues such as CVPR, ICCV, ECCV, NeurIPS or ICRA. You will have access to extensive compute resources at TU Delft, ranging from local GPU servers to large-scale HPC infrastructure
-
. Building on these insights, you will run one dimensional mixed layer models to test how different conditions regulate stratification and mixing, and compare modeled responses with observations to expose