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: R2 Level: - A minimum of 5 years experience administering Ubuntu Linux, configuring Various SQL unstructured and vector databases, and with the Python programming language - Experience with Docker and
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degree, obtained within the last three years before the application deadline. Programming skills in Python and data analysis. Track record of scientific publications in international peer-reviewed journals
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, or geospatial briefings to help communicate technical findings to diverse audiences Develop or adapt geospatial scripts using Python for data processing, automation, and spatial analytics workflows Collaborate
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modern accelerator programming models (e.g., OpenMP offload). Proficiency in Python for scientific computing, including integration with machine learning and AI frameworks such as PyTorch, particularly in
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at the Secret level or higher and may be subject to a government background investigation to upgrade clearance eligibility, if required Preferred skills/experience areas include: Python, C++, CUDA, time-series
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-related field required. Excellent communication and interpersonal skills. Must be proficient in Python, ESRI ArcGIS, SAS, Matlab, Javascript, Linux. Strong attention to detail and ability to multi-task
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selection criteria Experience with AI / probabilistic AI / Machine Learning / Reinforcement Learning Experience with numerical optimization and MPC Strong programming skills (Python, C) Personal
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Experience with AI / probabilistic AI / Machine Learning Experience with numerical optimization and MPC Strong programming skills (Python, C) Experience with predictive maintenance, fatigue, fault detection
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knowledge of relevant machine learning and AI techniques Proven scientific excellence as evidenced by strong scientific publications and track record relative to career stage Strong programming skills (Python
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Python. • Knowledge of the Pytorch library for neural network development would be appreciated. Interpersonal skills: • Candidates must be able to work as part of a team with the various project