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of concepts and techniques from Quantum Information Science. - Experience with Python, Julia, Mathematica and quantum programming environments like Qiskit. Overtime Status Exempt: Not eligible for overtime
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. - Strong quantitative skills and experience coding in MATLAB or Python - Track record of publications and presentations. - Experience in mentorship and/or teaching. Preferred Qualifications • Demonstrated
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. Additional background in renewable energy, surface science, catalysis, and/or machine learning. Strong programming skills in Python and some exposure to machine learning. Ph.D. in Materials Science, Physics
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and coding languages beyond R (e.g., Python) are desirable. The candidate should also have a demonstrated publication record in relevant fields and excellent communication and collaboration skills
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preferred. Knowledge of statistical methods, programming (e.g., Python, R), and data quality assurance techniques. Proven ability to work collaboratively in an interdisciplinary environment and engage with
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Abilities Training and/or experience with: Programming of behavioral experiments and data analysis (MATLAB, Python, or equivalent), eye-tracking software and hardware (Eyelink or equivalent), MRI, eye
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University of California, Los Angeles | Los Angeles, California | United States | about 2 months ago
or fluency in python Excellent oral and written communication skills The ideal qualifications also include: Prior knowledge about land-atmosphere interactions, atmospheric dynamics, climate modeling, and/or
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in Python, or demonstrated ability to rapidly acquire fluent knowledge of new programming languages, libraries, and platforms. A background and/or interest in mathematics or computer science would be
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demonstrated ability to analyse and interpret complex multidimensional data. Experience of programming in Python, or demonstrated ability to rapidly acquire fluent knowledge of new programming languages
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superb quantitative background, strong coding skills (e.g., Python, R), expertise in infectious disease modeling across multiple pathogens, expertise with large datasets and statistical analysis, and high