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contemporary data-driven techniques. Computational methods such as optimization, filtering algorithms, predictors, etc. Software and coding skills with, e.g., Python, MATLAB, R, C++, Julia, potentially HIL
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contemporary data-driven techniques. Computational methods such as optimization, filtering algorithms, predictors, etc. Software and coding skills with, e.g., Python, MATLAB, R, C++, Julia, potentially HIL
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methods such as optimization, filtering algorithms, predictors, etc. Software and coding skills with, e.g., Python, MATLAB, R, C++, Julia, potentially HIL. Excellent command of English in speech and writing
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from many different sources into data frames that can be analyzed with biostatistical applications in the statistical software R/Python. Performing data analysis in accordance with time-structures and
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-driven services that can improve the current design procedures in the district energy industry and optimize future operations in 4GDH. Your PhD project will be part of a collaborative R&D effort with
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part of an agile team, with a strong sense of responsibility Willingness to engage in application-oriented R&D, by closely interacting with company staff In close teamwork with our researchers and staff
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and present data obtained from satellite tracking and biologging devices deployed on ABT, therefore strong programming skills (e.g. R, Python) and experience handling and analysing large telemetry
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and statistics: Python, R, MATLAB Strong English communication skills; both written and orally Experience with any of the following is appreciated. mySQL, computational workflow managers, clustering
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quantitative methods Experience in one or more programing languages (e.g. R, Python) Knowledge of public health, foodborne disease surveillance, and animal disease surveillance is an advantage Excellent
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suited for data science and statistics: Python, R, MATLAB Strong English communication skills; both written and orally Experience with any of the following is appreciated. mySQL, computational workflow