Sort by
Refine Your Search
-
principles and research data management. Experience with high-performance computing, cloud computing, GPU acceleration, or distributed data processing. Experience participating in international scientific
-
cell- and module level. Particular emphasis will be placed on leveraging modern heterogeneous computing architectures to enable large-scale, high-fidelity reacting-flow simulations. The models developed
-
sequence alignments. In this project, we will conduct a comparative study of noncoding genomic regions. You should have expertise in algorithm design and high-performance computing, particularly in
-
with: Experience with web-GIS development or geospatial data visualization. Experience with high-performance computing clusters or cloud-based Earth observation platforms (e.g., GEE Python API
-
Linköping University, and aims to understand the cybersecurity challenges in software-intensive and high-performance communication networks using AI-powered methods. We will advance the research front