-
and adaptive token pruning; Distributed and collaborative inference strategies; Mixture-of-Experts (MoE) architectures for scalable inference; Resource-aware and latency-constrained inference
-
to explore the dynamic nature of the human replisome, with a focus on replisome protein architecture, replisome speed control, and replication stress responses in cancer cells. By combining CRISPR-based
-
of neural network architectures (as a plus: PINNs, neural operators, transformers/LLM) and NN training. Strong Python programming skills (as a plus: C++ or Julia) and knowledge of scientific computing
-
potential to Danish growing conditions; evaluate the adaptability of these accessions and investigate their genetic background; Uncover the genomic, metabolomic and sensory architecture of edamame taste and