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? We are excited to announce two fully funded PhD positions at the University of Amsterdam. Please note: All applicants will be considered for both positions. There is no need to indicate which project
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of multimodal painting data, with a strong focus on XRF‑derived HDI. The project will deliver new visual analytics techniques and prototype tools that support the study of pictorial artworks. It is expected
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development of future wastewater systems by translating these insights into a practical decision‑support tool. Particularly, you will: Develop an assessment framework based on literature and stakeholder
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’ to write patterns of skyrmions, and explore their dynamics with a suite of state-of-the-art time and spatially resolved optical and electrical tools. Research will include femtosecond magneto-optical
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optimization-based updates (e.g., stochastic gradient methods and Bayesian learning), Probabilistic performance guarantees, leveraging tools from stochastic systems, RKHS-based learning, and Bayesian inference
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tools for protein engineering with biochemical and structural biology techniques to engineer thermostable IBPs with tailored activity. Particularly, you will focus on IBPs that inhibit ice
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the gap from pore scale physics to engineering-scale simulation tools. Sounds interesting? Then this position might just be the one for you! Information Porous media play a central role in many technologies
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edge epigenetic tools to engineer the next generation of animal cell lines for cost-effective, scalable, delicious cruelty-free meat?! Job description ‘Cultivated meat’, the production of genuine meat
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modelling (e.g., agent-based Bayesian models, cognitive learning models, machine learning). Experience in annotation software such as ELAN and PRAAT. Existing peer-reviewed journal publications and conference
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state-of-the-art tools and AI libraries developed at the TU/e, such as GameBus and Experiencer. The collected data forms the basis for developing predictive AI models that tailor coaching content and