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Field
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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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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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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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. Experience in scientific programming (e.g., Matlab and Python) is a requirement. Experience with analysis of climate data sets is an advantage. Applicants must be able to work independently and in a structured
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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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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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years from receipt of their doctoral degree. Experience with a statistical software package (e.g., SAS; Statistica; R; SPSS; Matlab). Desired Qualifications Evidence of effective communication skills
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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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image processing (e.g., in Matlab), and Fourier optics are desirable. Knowledge of visual optics is not required, though beneficial. The project is supported by federal funding. Rank and salary will be
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of power system operation, planning and resilience. Good programming skills (e.g. GAMS, Python, Matlab). Demonstrated high level interpersonal and communication skills with the ability to work