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enhance graphics functionality across BSI software products. Assist with developing internal validation and testing tools using Python scripting and leveraging Azure DevOps for project management
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Python to uncover molecular mechanisms of PTSD Evaluate and integrate current scientific literature to support ongoing research projects and hypothesis development Prepare scientific manuscripts and
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the arc melting, hot rolling, and mechanical testing equipment, including I/O, sensor feedback, and data capture. Connect the PLC layer to the higher-level Python control software through industrial
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languages (e.g., python, Matlab, C++, etc) • Any experience with 1) advanced control and optimization, 2) machine learning theory and applications, and 3) chemical engineering and chemistry is a plus
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are required. Experience in python, Fortran, C++ and parallel computing are a plus. 3. Good publication record in peer-reviewed journals for fluid mechanics. 4. A Ph.D. degree in relevant
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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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Required knowledge Skills Focus proficiency in one programming language (e.g. Matlab, R, Python), machine learning / deep learning / data science skills, basic understanding of cell and development
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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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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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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