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innovations in mechano-driven cartilage tissue engineering? Are you driven to develop novel in silico frameworks that deepen mechanistic understanding of tissue growth and inform in vitro experiments? Then you
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Are you interested in the long‑term consequences of climate change and adaptation choices and the role that insurers and other financial institutions? Do you want to develop macroeconomic models
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. Faculty Mechanical Engineering From chip to ship. From machine to human being. From idea to solution. Driven by a deep-rooted desire to understand our environment and discover its underlying mechanisms
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11 Jul 2026 Job Information Organisation/Company University of Amsterdam (UvA) Research Field Biological sciences » Biological engineering Biological sciences » Biology Computer science » Modelling
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to organizational values. Your project is part of the Model-Driven Decisions Lab, a Netherlands Police - TU Delft initiative, where you will join an interdisciplinary community of four fellow PhD students who have
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grounded image data. The research explores how AI-driven analysis can move beyond manual reverse-engineering workflows by automating feature extraction and structural interpretation while remaining robust
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of repeatedly solving wave equations. In the project, we will develop a new mathematical and computational framework that combines PDE-based modelling with ideas from data-driven reduced-order modelling. The aim
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of Rehabilitation Medicine, Amsterdam UMC, who will develop musculoskeletal models in close collaboration with Ajay Seth from the Department of Biomechanical Engineering at TU Delft. This PhD position is part of
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engineering tools. Your work will span circular materials research (plastics and metals), the creation of high-quality material models, the development of Digital Twins, and the use of AI-based methods
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Geography, Oceanography, Civil or Hydraulic Engineering, or a related discipline by the time the position starts. Furthermore, you should have: Experience in modelling of sediment transport Coding experience