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Field
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techniques for screening plasmid libraries, such as phage display and yeast display is an advantage. Coding abilities in R/Python are an advantage. The candidate will work in a very ambitious interdisciplinary
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. Proficiency with data analytic programs (e.g., Stata, SPSS, AMOS, SAS, R/Python, etc.). Experience translating and disseminating research findings to broader audiences (e.g., business leaders, policymakers
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developing and implementing algorithms for processing, imaging or inversion of seismic data, preferably using MATLAB and/or Python. Experience or demonstrated ability in processing and analysis of surface
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Expertise in scientific computing, including proficiency in C++ or Python programming Fluent oral and written communication skills in English Desired qualifications: It will be an advantage that candidates
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is also expected to re-implement historical narrative systems in Python and help determine the course of a larger collaborative CNS project dealing with such systems. About the LEAD AI fellowship
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System (ROMS) experience with modelling of marine sediments programming skills in FORTRAN, MATLAB and/or Python experience with super-computers and with the Linux environment an established publication
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, or ensemble models (e.g., XGboost). Proficiency in programming languages commonly used in data analysis, such as R, Python, or C++ (or similar). Strong communication, collaboration, and presentation skills
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learning, or high-dimensional data analysis. • Proficient in programming languages such as R, Python, or Julia. • Possess excellent communication and collaborative skills. • Strong publication
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with programming languages appropriate to the projects (e.g., python, C, and/or c-sharp, as well as sql languages). Expertise with building and maintaining software systems. Familiarity with
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statistical software (e.g., R/Python/Matlab) Writing sample At least 1 reference who can speak to your research skills Additional Qualifications Topical exposure/interest in development economics Experience