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Field
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experience in data processing, numerical modelling and inversion Experience in coding (Python, Matlab, Fortran, C/C++, bash) Excellent publication track record Capacity for interdisciplinary, international
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ICT systems’ security Strong programming skills, especially in Python, MATLAB, and/or C/C++. To be admitted into the PhD programme in Engineering and Science, the applicant must hold a master's degree
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surveys; Programming/scripting knowledge suitable for processing raw data for analysis (e.g., text manipulation); One or more computational environments for statistical analysis (e.g., MATLAB, Stata, R
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English communication skills, the ability to write code using Python or MATLAB, the desire and ability to work as part of a multicultural team, and a demonstrated ability for creating intellectual value
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analysis (e.g., MATLAB, Python). Demonstrated ability to independently design, conduct, and analyze experiments. Excellent written and oral communication skills. Applicants are expected to have met all
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surveys; · Programming/scripting knowledge suitable for processing raw data for analysis (e.g., text manipulation); · One or more computational environments for statistical analysis (e.g., MATLAB, R
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analysis using tools such as Python, MATLAB or LabVIEW. Analytical and problem-solving skills with attention to accuracy and detail. Ability to plan, organise and manage experimental work in a laboratory
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analysis (e.g., MATLAB, Python). Demonstrated ability to independently design, conduct, and analyze experiments. Excellent written and oral communication skills. Applicants are expected to have met all
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materials Mastering of micro and nanofabrication techniques Automation of experiments with MATLAB, Python, or equivalent At least a working knowledge of microwave techniques Experience on operating dilution
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, math, statistics, and/or computer science Experience with programming, data science, and geospatial analysis (especially R, Stata, Julia, MATLAB, or Python) An enthusiasm for empirical research and an