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Science Student assistant job description should include, but not be limited to: Strong programming skills in Python and C/C++ Familiarity with machine learning frameworks such as PyTorch or TensorFlow Ability
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Strong Linux systems administration expertise Experience with GPU servers and high-performance networking technologies Experience with scripting and automation (e.g. Bash, Python) Knowledge of storage
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Knowledge of ERP/financial systems (e.g., Workday, Adaptive Planning, Oracle, or similar) Working knowledge of Python or R for data automation and analysis Experience with cloud data platforms (e.g
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. The working hours are 15 hours per month. Your tasks will include supporting in the data collection and preparation and also good knowledge of statistics experience in programming with the tools R, Python
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and affects control accuracy in Si/SiGe spin-qubit systems Develop compact Python-based models of these electronics for integration into quantum-mechanical simulations Design and evaluate cryogenic
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; interest in transportation, sustainability, simulation, or data analytics; basic experience with Python, GIS or quantitative analysis is preferred but not required. Additional Information: Physical Demands
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or Python is highly encouraged. Salary and Rank Special Instructions Applications received by October 21, 2026 will receive full consideration. However, we will continue accepting applications until
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activities Application and database support utilizing Java, python, and proprietary Siemens configuration tools Configuration and deployment of Linux systems (including virtual environments), application
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discipline. Demonstrated programming experience in Python and Linux-based computing environments. Ability to work collaboratively in a research setting and communicate scientific findings effectively
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French National Institute for Health Research (INSERM) | Lille, Nord Pas de Calais | France | 3 months ago
bioinformatics workflows in Python for the analysis of transcriptomic, proteomic, single-cell transcriptomic, and interactome datasets. Design and implement Big Data and machine learning approaches using Python, R