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familiar with geoprocessing using Python Good theoretical understanding and practical experience using quantitative methods (including projections based on time series data). Good oral and written
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, particularly Python, and best practice in data management and use of Github. Experience with robotics or maritime autonomous systems, including perception, planning, or navigation. Experience and abilities
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-source artificial intelligence, machine learning, statistical estimation methods, software tools, and big-data frameworks. Programming languages such as e.g. Python, C++, and LABVIEW. In the assessment
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to NeuroPathways Familiarity with quasi-experimental methods for causal inference Familiarity with administrative register data or other types of big data Familiarity with R, Stata, Python, or other relevant
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simulation tools A solid background in programming and signal processing (C, Matlab, Python, …) Experience from satellite projects (development, operation, data analysis) A desire to achieve good oral and
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programming in Python. Excellent oral and written communication skills in English. Personal suitability and motivation for the position. The doctoral dissertation must be submitted for evaluation by
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(e.g., carbon, nutrients, oxygen) or transient tracers such as CFC-12 and SF6, is required. Proficiency in MATLAB or Python is required. Applicants must be able to take part in a nearly two-month-long
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simulation tools A solid background in programming and signal processing (C, Matlab, Python, …) Experience from satellite projects (development, operation, data analysis) A desire to achieve good oral and
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of Science and Technology (NTNU) for general criteria for the position. Preferred selection criteria Strong skills in programming languages and software-engineering paradigms, e.g. Python; OOA/OOD/OOP
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necessary. • Good programming skills (in R, Python or similar). Experience with analyzing large datasets or registry data is an advantage, but not necessary. • Fluent oral and written communication skills in