-
/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
-
. Knowledge and Professional Experience: · Knowledge of programming languages used in data analysis (particularly python) is strongly recommended. · High Performance Computing. · Experience with High Throughput
-
, Computer Science, or related disciplines. Knowledge and Professional Experience: · Knowledge of programming languages used in data analysis (particularly python) is strongly recommended. · High Performance
-
. Knowledge and Professional Experience: DFT-based methods. Scientific programming in Fortran, in MPI/OpenMP-parallelised codes. Knowledge of other languages (in particular python) and of GPU offloading will be
-
(LabView, Python, C++, Matlab) Competences: Teamwork skills, Fluent English (both spoken and written). Summary of conditions: Full time work Contract Length: Temporary Location: Bellaterra (Barcelona) Salary
-
Science, or similar. - Solid Python; basic PyTorch or TensorFlow. - Intro ML knowledge (train/val/test splits, losses, overfitting). - Comfortable with Linux and git. The following features will be valued: - Interest
-
. Knowledge and Professional Experience: DFT-based methods. Scientific programming in Fortran, in MPI/OpenMP-parallelised codes. Knowledge of other languages (in particular python) and of GPU offloading will be
-
or MSc (or near-completion) in Physics, Materials Science, Computer Science, Electrical/Computational Engineering, or related field. - Hands-on Python (data wrangling, scripting, automation); comfort with
-
collaboration of 14 European research institutions and is funded (https://cordis.europa.eu/project/id/101136269) by the European High Performance Computing Joint Undertaking as part of the Horizon Europe program