Sort by
Refine Your Search
-
Listed
-
Field
-
: Design, implementation and testing of new methods and algorithms so that SIESTA can harness the compute power of the latest generation of (pre-)exascale architectures and tackle novel scientific challenges
-
/transport checks; maintain reproducible pipelines (configs, seeds, provenance). Collaboration and reporting: Work with the PI and team, contribute clean, well-tested Python code, document results, and prepare
-
., evolutionary algorithms/strategies, mixed-integer search, multi-objective methods). Strong Python and scientific-computing skills (data handling, experiment tracking, testing, version control). Practical
-
, once the codes have been tested and validated, the work will involve performing simulations of materials for energy storage (batteries, supercapacitors), in collaboration with our partners in Japan (Prof