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experience. Strong coding skills in commonly used scientific languages (e.g. Python, Matlab, shell script, C) Demonstrated experience in performing simulations at the atomic-scale, including density functional
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, ill-posed nonlinear inverse problems Numerical optimization techniques Machine learning Strong programming skills in Matlab and/or Python are required. These should be documented, for example through a
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complex datasets, including model fitting, statistical testing, and data visualization in R and/or Python. Ability to work closely with experimentalists to ensure analyses complement experimental goals and
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publications. It involves conducting systematic reviews and working with analytical software such as R or Python, with a focus on both independent and collaborative research. The role also requires experience in
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(Python, JavaScript), deep neural networks and computer vision; Design and implementation of database systems; Design and implementation of application programming interfaces, server-based and cloud
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such as R, Python, Julia, etc. Familiarity with AI algorithms and Machine Learning Fluent oral and written communication skills in English Desired qualifications: Experience with research on epidemiological
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and computational methods using R or Python, while continuously enhancing technical proficiency through structured training. Develop, manage, and quality-check complex datasets from diverse sources
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optical setups and measurements. • Working knowledge and understanding of quantum optics and ultrafast optics. • Good with data analysis using Matlab, Python, etc. • Good in research and strong
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and maintain Python and R codebase for transit routing and GIS operation automation. · Generate and write grant proposals with Dr. Liu on various topics. · Work with undergraduate and graduate students
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statistical / data science languages such as R or Python Experience working with geographic information systems Desirable Characteristics: Experience with building spatially explicit models, including