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. The Novo Nordisk Foundation Center for Biosustainability (DTU Biosustain) Recent progress in our ability to read and write genomic code, combined with advances in automation, analytics and data science, has
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practices and convert prototypes and ideas into efficient codes that benefit the wind energy community. The work involves five main areas of focus: Driving further development, testing and support of in-house
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optimizing static mixers through the development and extension of the state-of-the-art spectral element CFD code Neko from KTH, Sweden. You will also contribute to developing methodologies and software
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understand researchers' needs for handling their research data, metadata, data management plans, code, etc.? Do you see the value of data sharing, reuse, and referencing for research? Do you have experience
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of electricity and other energy markets. Knowledge of cost model and financial modelling of renewable technologies. Coding experience (Python, Matlab) You must be responsible for the teaching of courses. DTU
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practices in computational experiments. Experience with source code version control (Git/GitHub), automated testing (CI/CD), and DevOps practices. Experiences in Linux and other OS that are the backbone
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for the position. The Novo Nordisk Foundation Center for Biosustainability (DTU Biosustain) Recent progress in our ability to read and write genomic code, combined with advances in automation, analytics and data
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Biosustain) Recent progress in our ability to read and write genomic code, combined with advances in automation, analytics and data science, has fundamentally changed the scope and ambition of harnessing
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or optimization. Proven experience with programming and data analysis tools. Fluency in Python, including experience writing data analysis scripts and model training code. Experience with scientific computing and