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passionate about the Earth and its climate? Do you want to make a difference in science and the world? Do you get excited about satellite images and venturing out to remote places? This vacancy is part of a
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of aircraft with fundamentally different operational characteristics. You will simulate mixed-fleet operations in European airspace and analyze how they will impact the future air traffic system, as
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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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). Understanding of or interest in regulatory environments, sustainability, or policy modeling in supply chains. Solid programming or modeling skills in tools such as Python. Strong analytical, writing, and
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of communication protocols and security architectures Knowledge of aviation systems (CNS, ATM) or strong motivation to acquire this expertise Programming experience in Python, C/C++, or Rust Ability to work with
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communication skills and are able to work in a multidisciplinary team. You have strong programming skills (e.g., C++, Python, …). You are creative, critical, analytical, motivated and persistent. You have a good
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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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-of-the-art econometric methods such as staggered difference-in-differences, regression discontinuity designs, and causal forest–based identification strategies. We ask applicants to briefly sketch in
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You will focus on: Studying the slug stability of organic solvent slugs (e.g. acetone, acetonitrile, chloroform) in different push solvents for detection of apolar metabolites with segmented flow NMR
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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