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of publications in high-impact Q1 journals applying computational methods to materials science. Advanced proficiency in Python, ML libraries (PyTorch/Scikit-learn), MLOps, Docker, and computational materials
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Research Engineer - Tools developer for LSQUANT platform (Theoretical and Computational Nanoscience)
Python or Java script familiarity with the following tools will be highly appreciated: Monfgo DB , React an dreact workflow, Google API´s, Pytorch Professional Experience: Programing in PYTHON/C languages
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navigating cloud-based research platforms to ensure data is not just stored, but is searchable, well-documented, and preserved for the long term. Knowledge of modern programming languages (e.g., Python, SQL
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or similar. Knowledge and Professional Experience: Programming Languages: Solid knowledge in at least one of the following environments (and willingness to learn others): Python (Django), PHP (Laravel