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, interdisciplinary working environment In-house modelling, data processing and data assimilation expertise, software, and High Performance Computation (HPC) infrastructure Excellent scientific infrastructure
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. Experience with embedded systems, real-time computing, hardware-software co-design, FPGA development, or hardware-accelerated computing will be considered a strong advantage. Familiarity with efficient
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computing, hardware-software co-design, FPGA development, or hardware-accelerated computing will be considered a strong advantage. Familiarity with efficient-deployment toolflows such as TinyML or FINN is a
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or related topics will be considered an advantage, as will familiarity with common tools for hydrological and hydrogeological modelling, but it is not a requirement that you already master specific software
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robotics software frameworks such as ROS/ROS 2. You will be expected to work both independently and collaboratively in an international research environment, with excellent written and spoken English skills
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analysis in software such as R, Stata, Python or similar tools. You are comfortable working with datasets, developing statistical models and documenting your analytical choices. Experience with experimental
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Experience with firm level econometric analyses or with processing of large firm level datasets will be an advantage, but it is more important that you have experience with software tools such as Stata, SAS, R