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: computational linguistics / NLP cognitive science / psycholinguistics language acquisition or related fields Strong Python skills are essential, and experience working with corpus data or computational models
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Experience with one or more programming or analysis tools such as Python, MATLAB, LabVIEW, or similar platforms Demonstrated ability to design and execute independent research Strong written and verbal
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Python and experience with GPU processing of large-scale datasets. Excellent written and oral communication skills in English. We also value applications from people with the following experience
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with, and proficiency in, scientific programming in Python or MATLAB. Preferred Qualifications Experience with distributed acoustic sensing, nodal arrays, or other dense seismic deployments. Experience
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common scientific programming languages such as C++, Python, and/or Julia and version control systems. Experience in parallel programming with one or more common parallel programming models, like MPI
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scientific programming in Python and experience with GPU processing of large-scale datasets. Experience with inverse problems and 3D reconstruction methods for tomography, laminography, or a closely related
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Python and experience with GPU processing of large-scale datasets. Excellent written and oral communication skills in English. We also value applications from people with the following experience
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or applying AI/ML approaches to Earth, environmental, ecological, hydrological, or geospatial problems. Experience with programming in Python, GEE, or R, and working with modern scientific computing and/or AI
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, biological sciences, computer science, machine learning) Demonstrated quantitative skills, including proficiency in programming (R and/or Python) Previous experience developing statistical methods or working
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. Responsibilities: Conduct empirical research on responses to hazardous weather using mobility data Clean, manage, and analyze large mobility datasets using python and modern econometric and computational tools