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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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programming (Python, matlab). Knowledge in printing/deposition techniques. Knowledge/experience in large scale deposition/printing techniques. Experience/Background in polymers science. Capability to work
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of inorganic or colloidal synthesis methods. Familiarity with microscopy image processing or quantitative analysis tools (e.g., ImageJ, Python-based analysis) will be valued. Motivation to work at the
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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
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programming (Python, matlab). Knowledge in printing/deposition techniques. Knowledge/experience in large scale deposition/printing techniques. Experience/Background in polymers science. Capability to work