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. Proficiency in Python and either PyTorch or JAX Experience with HPC, GPU is preferred Related Skills and Other Requirements Ability to collaborate on multidisciplinary research in a collegial environment
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pipelines to extract biological signals from noisy data sets using Python, MATLAB, and/or LabVIEW. Collaboration: Work alongside biologists to translate raw sensor data into insights explaining the mechanisms
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languages & applications (SQL, .NET, MS Office, SSRS, Tableau, Python, R, and Machine Learning techniques) Knowledge of a variety of current and emerging technologies Excellent analytical, problem solving
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in quantitative modeling, data science, mechanical and urban engineering, or AI/ML methods as exemplified by a strong publication record. Previous experience in Python-based scientific computing
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Employment Type Full-time or Part-time (depending on the qualifications and availability of the successful candidate) Responsibilities Python programming to process large volume unstructured
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requires strong programming skills in Python, competency in data analysis and scientific computing, and the ability to work with large datasets. Familiarity with machine learning and planetary science
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, from conception to dissemination ? Familiarity in using programming languages such as Python, Stata, and/or R to analyze large data sets ? Knowledge of and interest in FAI?s research areas, including