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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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incidents effectively. English proficiency at a B2 level. Experience in writing scientific articles. Experience in software development using Python. Experience with Geant4. LanguagesENGLISHLevelExcellent
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well as amplification of genetic material by PCR. Basic data processing tools: Excel, R, Python Bioinformatics skills to process RNA-seq and ddRDASeq: demultiplexing, quality filtering, assembly, mapping; Generate de
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- Knowledge of programming (Fortran, Python) - Previous experience with SIESTA will be a plus but it is not essential. - Previous experience with user-level High Performance Computing will be a plus but it is
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mechanics, or advanced material behavior. Programming skills (e.g., Python, MATLAB, Julia,..), ideally with experience in numerical methods or scientific computing. Familiarity with machine learning
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expertise in analysing complex quantitative and computational data and/or rich qualitative data. • Proficiency or skills to learn a statistical software (e.g., R, Stata, Python). • Interest in contributing
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Science, Chemistry, Computer Science, or related disciplines. Knowledge: - DFT-based methods and molecular dynamics. - Machine learning, and data analysis - Knowledge of programming (Fortran, Python
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/high level Matlab and Python programming is required) and finite element method modeling. The candidate will participate in international collaborations and meetings and will have the opportunity
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and fast optical modulators. - FPGA support to the team. - Sofware support to the team (Python, C++) Where to apply Website https://sede.uvigo.gal/public/catalog-detail/27660208 Requirements Research
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level. Background in solid-sate physics, semiconductor devices, quantum information, and/or analogue circuits is desirable. Experience in data analysis and programming, particularly in the use of Python