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analysis is highly desirable. Experience with Earth observation or remote sensing data is a strong plus. Proficiency in programming in Python and experience with PyTorch, Scikit-Learn, or related modern
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, Engineering, mathematics or related disciplines with a strong background in data analysis, mathematical modeling and algorithms Good programming skills in Python/C/C++ Good oral and written skills in English
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individuals come from different linguistic and cultural backgrounds (as in the case of Creoles), or when established language communities are introduced with naïve vs. experienced participants (simulating
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patterns may influence micronutrient adequacy. In addition, you will evaluate how different professional user groups interpret and interact with modelling outputs in order to improve scientific usability and
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are focused on areas with high noise exposure: areas near the runway or final approach or early departure routes. Current noise models only consider a free propagation path from the sound source towards
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). Demonstrated affinity with quantitative genetics concepts and data analysis. Experience with programming in Python, Fortran, Linux or similar software. Good organisational and communication skills in English
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behaviour that may be significantly different than what would happen in real-life bulk systems. For example, droplet confinement extends the upper range of critical capillary numbers where coalescence is
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design and digital signal processing. Hands-on RTL design skills (SystemVerilog / Verilog / VHDL) plus scripting (Python / MATLAB / C/C++). Strong command of English. Strong team player with excellent
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skills (Python) and knowledge of deep-learning frameworks (PyTorch) are expected. A certain affinity towards turning complex concepts into real-world practice is desired. The successful candidate is
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Aerospace Engineering, Aeronautics or a comparable degree, thorough knowledge of AI/ML methods, acoustics, and air traffic management are preferred, as well as excellent programming (Python, Java, C++, …) and