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on what characterizes intelligence in humans and AI and develop neuro-cognitive methods and formal models to describe the similarities and differences? Join us! We are looking for a PhD candidate to join
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hold an MSc (or equivalent) in Remote Sensing, Geoinformation Science, Statistics, or a closely related discipline, and feel comfortable programming in Python/R? Are you a critical thinker who can assess
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emerging and traditional donors, identifying patterns of convergence, divergence, and new coalitions in a multipolar development landscape. The PhD candidate will contribute to this research with a preferred
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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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Foundations: Knowledge of optimization techniques (e.g., LP, CVX, etc), including for/with ML (first order methods, data-driven algorithms, etc). Data Foundations: Hands on experience in data analysis (Python
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probabilistic generative models for networks; analyze real network data from different application domains; design efficient algorithmic implementations of the theoretical models. You will be supervised by Dr
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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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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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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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appreciate that Radboud University offers different types of PhD tracks. That way, there's room for a range of ambitions. Now, I study the relationship between culture and health communication, specifically