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C++ and Python, including use of ROS or other real-time robotics frameworks. 5. Excellent verbal and written communication skills in English, including the ability to present technical concepts
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National Aeronautics and Space Administration (NASA) | Fields Landing, California | United States | about 5 hours ago
inductively coupled plasmas, arcjets, Python, or CAD design for hardware integration is desirable. Point of Contact Mikeala Eligibility Requirements Citizenship: LPR or U.S. Citizen Degree: Doctoral Degree
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the relevant literature, and are proficient in Python and common ML frameworks. What you will do You will design and evaluate learning-based methods for navigation and perception, develop and analyse
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theory/cold atoms/quantum information/quantum simulators/quantum optics supported by good publication record, • good programming skills (python/julia, c++), • fluency in written and spoken English
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Vegetation Simulator (USFS FVS). Experience with software tools such as R, CPLEX, Optimization with Python, Remsoft (Woodstock). Excellent communication skills and ability to work collaboratively with others
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. Essential qualifications: PhD in Computer Science, Robotics, Machine Learning, or related fields. Programming skills in Python/C++ and experience with ML frameworks (e.g. PyTorch, TensorFlow, JAX). Strong
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background in machine learning, predictive modeling, or applied AI Proficiency in Python and/or R; experience with libraries like scikit-learn, XGBoost, TensorFlow. -Experience working with real-world datasets
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detectors, ultra-high vacuum, tritium gas handling, magnetometry, cryogenic engineering, charged-particle trapping, atom trapping and cooling, RF/microwave cavities and radiation detection, FPGAs, Python, C
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fields. Strong programming skills in Python, Java, C++, etc. A solid foundation in generative AI, machine learning, and related areas. Interest in Speech/Language Processing and its application. Know-how
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(bulk and single-cell) Proficiency in relevant programming languages (e.g. Python, R, etc.), HPC environments (e.g. Slurm), and workflow management systems (e.g. Snakemake) To work accurately and being