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degree in mechanical, chemical, or energy engineering or similar and experience in some of the following areas: Experience in Multiphysics and CFD modeling involving fluid dynamics, and electrochemical
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infrastructure, semantic technologies, and applied research Solid programming experience, preferably in Python Familiarity with structured data handling (e.g., SQL) and scientific workflows A two-year MSc degree
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more information for a given experimental budget. Efficient active learning depends on the careful co-design of experiments and inference algorithms. You will explore topics such as how to elicit
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robots will make current labour-intensive cultivation systems (e.g., stripcropping, targeted mechanical weed control, etc.) profitable, contributing to increased biodiversity locally and reducing the need
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- or nanoengineering, material science, mechanical engineering or similar. Experience with cleanroom fabrication processes or additive manufacturing is highly beneficial. You are expected to have a keen interest in
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operation mode can have a large influence on performance and lifetime. Understanding the degradation mechanisms and their dependence on operation parameters is therefore highly important, not only