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/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
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implement Python scripts for the automated control of electron microscopes; design and execute automated experiments, including real-time feedback loops between acquisition and data analysis; maintain
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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
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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
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electronics and electrochemistry o Experience with micro/nanofabrication and characterization tools (AFM, TEM, SEM, etc.) o Experience with neural interfaces o Experience in programming (LabView, Python, C
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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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(LabView, Python, C++, Matlab) Teamwork skills, Fluent English (both spoken and written) Summary of conditions: Full time work (37,5h/week) Contract Length: Temporary (2 years) Location: Bellaterra