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using Python. General knowledge in carbohydrate chemistry and enzyme technology, i.e. carbohydrate structures and terminology. Strong analytical and problem-solving skills. Ability to work collaboratively
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programming (e.g., Python, Java, Julia, etc.) (Advanced) Knowledge of healthcare operations management Due to a close collaboration with hospital staff, part of the communication will be in Danish. Additionally
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. Possess experience in theoretical condensed matter physics, especially in ab initio simulations for materials (preferred). Be proficient in scientific programming (preferably Python) and comfortable working
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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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learning, statistical analysis, and other contemporary data-driven techniques. Computational methods such as optimization, filtering algorithms, predictors, etc. Software and coding skills with, e.g., Python
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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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: Machine learning techniques, statistics, and probabilities Numerical methods for time-domain simulations Power system dynamics Power system optimization Programming tools such as Python, Julia, Pytorch, etc
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have some level of: Experience programming with scientific python Experience with data science/analytics and machine learning methods Experience with wind energy topics You also work efficiently in a
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expect that you have some level of: Experience programming with scientific python Experience with machine learning methods Basic knowledge of reliability and maintenance concepts. Experience with wind
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systems and, more broadly, other energy systems Coding skills, preferably in Julia or Python Fluency in the English language Ability to communicate orally in presentations and technically in scientific