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organizing collective behaviour Analysing interspecific variation in swarming behaviour using comparative and statistical approaches Exploring evolutionary hypotheses by clustering behavioural traits and
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sensory cues Investigating how insects perceive and respond to light, visual landmarks, and wind when organizing collective behaviour Analysing interspecific variation in swarming behaviour using
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organizing collective behaviour Analysing interspecific variation in swarming behaviour using comparative and statistical approaches Exploring evolutionary hypotheses by clustering behavioural traits and
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terms of profits, resource efficiency, and carbon footprint. This PhD position is a part of the LEAP-AI project that will address these challenges in autonomous greenhouse control. The project team
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Your job Would you like to help build a more sustainable North Sea by exploring how the rapid growth of offshore wind farms (OWFs) impacts the fisheries sector? Join the Environmental Economics and
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the North Sea. The spatial planning and use of the North Sea over the next 30 years will be fundamentally shaped by a shift away from fossil (oil and gas) to renewable (primarily wind) energy. The Dutch
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of the three key ingredients for Darwinian evolution. Interestingly, for evolution to function, information transfer must be near-perfect, but not flawless: with perfect replication, no variation will be
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unclear strategies for bias mitigation limit its effectiveness in practice. This PhD project addresses the following central research question: how can we design human-AI collaboration to mitigate biases
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specifically address whether additional translocations are required to establish new populations on other islands, or to mix genetic variation between already established populations, to protect the species from
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soft materials, which often limit their precision, speed, and load-bearing capacity—all critical for real-world deployment. Addressing these limitations requires a new class of structures that combine