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(preferably python); has experience with methods and models to estimate techno-economic potential of renewable energy technologies; has knowledge and interest in the energy transition. Having detailed knowledge
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foundation in statistical modeling and algorithm development, with the ability to translate complex data into actionable insights; Preferably, experience applying these methods in the context of healthy
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the right engineering expertise, tools, methods and standards for the development of future projects. The role of the Division’s AI and Data Science Section is to lead the Agency’s centre of excellence
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multidisciplinary project aimed at characterizing the role of RNA structural ensemble dynamics in driving cell fate decision. Particularly, you will Develop novel methods for the mapping of RNA ensemble dynamics in
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interactions. Orbit dynamics evolve over a longer timescale compared to the rapid dynamics of attitude and GNC systems. Simulating these subsystems together requires sophisticated numerical methods to maintain