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experience with statistical tools (e.g. in R, MatLab, or Python) are expected. The team at DTU Aqua is highly international and knowing the Danish language is not needed. You must be available for boat-based
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Job Description Are you interested to be part of the energy transition R&D? The Danish Offshore Technology Centre (DOTC), Technical University of Denmark (DTU), invites applicants for three research
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Job Description Would you like to contribute to solving some of the most critical challenges industrial coatings are facing today and are you looking for a carrier in R&D or academia? At CoaST
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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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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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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
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rich behavioural data; prior experience in immersive virtual reality is not mandatory. Proficiency in a programming language such as Python, Julia or R for data analysis and model development and
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, MATLAB, R, C++, Julia, potentially HIL. Excellent command of English in speech and writing. Good ability to present results orally, experience with preparing scientific papers for journal publications, and