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for geosciences and geography. Your qualities This position is ideal for someone interested in natural language processing, geographic information and conceptual modelling. You have the following qualifications: a
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), ecological processes (primary productivity and decomposition rates), and greenhouse gases (3D-printed flux chambers), and investigating how we can use citizen science-driven data streams for model development
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around us? At Maastricht University, you will investigate how individuals differ in predictive processing by combining behavioural and neural testing with computational modelling. Together with colleagues
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of Science and Engineering, this PhD position is embedded in the Van Swinderen Institute for Particle Physics and Gravity (VSI) whose aim is to study the fundamental forces of Nature with implications for our
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orders. Using 3D field recordings and environmental monitoring, you will uncover how different species behave in swarms, how they use sensory cues from their environment, bringing new hindsight about the
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aims to rethink how soft robots can interact with their environment, focusing on large-area, multi-point contacts—similar to how an elephant wraps its trunk around an object. Unlike traditional robots
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and enthusiastic researcher. Analytical skills, initiative and creativity are highly desired. You are a naturally curious person who is eager to learn more and has a strong interest in research
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trunk around an object. Unlike traditional robots, which rely on rigid links and localized interaction points, soft robots are composed of deformable materials that can conform to complex geometries and
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for Particle Physics and Gravity (VSI) whose aim is to study the fundamental forces of Nature with implications for our Universe, by connecting the physics at the Planck-scale (quantum gravity) via sub-atomic
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different species behave in swarms, how they use sensory cues from their environment, bringing new hindsight about the evolution of collective behaviour. You will deploy a multi-camera 3D tracking system in