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innovation science, system dynamics, spatial modeling, and ecology. The specific focus of this PhD project is biodiversity monitoring and biological pest control as an ecosystem service. You will study how
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data, a physics-based train–track–embankment interaction model will be developed using finite element (FE) and/or multibody dynamics (MBD) approaches. The model will be used to investigate the mechanisms
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future landing missions. To support such missions, this project aims to replicate Enceladus’s environment in the laboratory to predict and constrain Enceladus’ surface characteristics and plume dynamics by
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, Applied Physics, or a related field. A strong foundation in (multiphase) fluid dynamics. Proven experience with experimental work and a drive to explore and improve state-of-the-art techniques. Image/data
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dynamics (MBD) approaches. The model will be used to investigate the mechanisms governing vibration responses measured by LDV and to improve the understanding of how embankment condition influences train
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of Food Chemistry and the laboratory of Food Process Engineering , where you will be part of a dynamic and international groups of scientists. You will be part of the flavor chemistry team in Food Chemistry
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design, fabricate, and characterize dynamic surfaces that form tactile features such as corrugations, Braille-like patterns, responsive fibres, suction-inspired structures, and switchable soft-hard
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Challenge: Extreme water events threaten people and infrastructure Change: Understand impact dynamics with experiments and numerical simulations Impact: Optimize the design of resilient
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to investigate how cartilage microtissue growth dynamics, matrix composition, and (anisotropic) matrix architecture are influenced by the mechanical and geometric properties of their environment
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practices, sensory environments and social dynamics contribute to these inequalities. Using an innovative multilevel approach, you will move beyond institutional averages to identify where inclusion succeeds