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Field
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background in at least two of the following fields: computational physics, porous media physics, statistical physics. Experience with programming language (e.g., Matlab, Python) Fluent oral and written
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using Python, R, Matlab, Julia or similar is required. Knowledge of energy systems, energy system modelling or the European energy market will be an advantage. Understanding of atmospheric processes
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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
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for evaluation by the closing date. Only applicants with an approved doctoral thesis and public defense are eligible for appointment. Good knowledge of programming and data analysis using Fortran, Matlab, Python
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written and oral communication skills in English. Proficiency in computational methods, with experience in modeling using Fortran, MATLAB, and/or Python Demonstrated research experience in earthquake
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written and verbal communication skills. The ideal candidate should have experience with LINUX, STAR-CCM+, ANSYS, Fluent, COMSOL, MATLAB, Simulink, and Python. Experience with parallel computing is a plus
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(e.g., MATLAB, bash, python, etc.) are required. Applicants who have recently completed their terminal degree and plan to develop an independent research career are especially encouraged to apply
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numerical and statistical modeling of natural systems. Working knowledge in programming languages such as MatLab and/or R. Experience with project management and ability to meet project goals in a timely
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Columbia or willing to relocate PhD in computer science, bioinformatics, biomedical engineering, electrical engineering or similar. Outstanding programming skills in MATLAB, JAVA, Net, Python and R. Track
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computer science, bioinformatics, biomedical engineering, electrical engineering or similar. Outstanding programming skills in MATLAB, JAVA, Net, Python and R. Track record of developing and implementing novel