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to elucidate these phenomena. This PhD project aims to develop a computational growth and remodeling (G&R) framework to investigate how cartilage microtissue growth dynamics, matrix composition, and (anisotropic
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on swept wings. A range of fabrication facilities available within our laboratory can be used to produce functional prototypes. All prototypes will be characterised for their dynamic and geometrical
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bulk to confinement on crystallization dynamics of mixed salts under various climatic conditions, focusing on special ion mixtures common in weathered stone. Performing systematic studies in
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-of-information metrics. Propose computational algorithms to estimate these metrics. Design and execute simulation studies to evaluate the above. Develop and test statistical software. Write user-friendly guidance
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: 10 May 2026 Apply now Predicting ecosystem dynamics under global change requires accurate, high-resolution soil information. Existing global soil maps are largely based on empirical machine learning
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be embedded at the Institute of Environmental Sciences (CML) at Leiden University and will be part of a broader interdisciplinary PhD and postdoc cohort working across Industrial Ecology, Urban Ecology
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tools Computer science » Programming Engineering » Biomedical engineering Engineering » Simulation engineering Researcher Profile First Stage Researcher (R1) Application Deadline 30 Apr 2026 - 21:59 (UTC
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in the project by contributing expertise on Urban Airspace (UTM) operations, modelling and simulation. Next to your thesis work you will also work in the TUNED project, where you’ll cooperate in
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that can dynamically linearize the transmitter. The research will contribute to enabling highly efficient and spectrally clean transmitters for next-generation wireless communication systems. What you will
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combine electricity, heat, hydrogen, CO₂, and other energy carriers with greenhouse climate control, resulting in a highly coupled, nonlinear, multi-timescale dynamical system. Your work will focus