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expertise in specialised domains where labelled data is scarce. Recent foundation models have transformed computer vision, yet their ability to acquire new expertise remains limited when training data is
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vision, yet their ability to acquire new expertise remains limited when training data is scarce or specialised. This project aims to develop the next generation of adaptive visual learning systems by
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theoretical challenges motivated by astrodynamics, optimisation, control, scientific machine learning, mission design and autonomous systems, translating these into new research directions in deep learning
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Help accelerate the electrification of industry by combining molecular and process-scale simulations for high-temperature thermal energy storage. Job description Carbon-based chemicals are essential
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join a unique project which aims to develop the next generation of green and low-carbon hydrogen technologies. You will be embeded in the Process & Energy department of the Mechanical Engineering Faculty
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-based and UV-curable inks. Implement FEM simulations linking chemistry, processing, and performance. Integrate experimental data from the experimental PhD’s for model validation. Collaborate with
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As part of the Purifiy project, we are looking for a EngD candidate on the design of plastic pyrolysis purification processes. Pyrolysis offers a promising path to valorize difficult-to-recycle
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Water is indispensable to modern society. It is used in our homes, in food production, and throughout the chemical and processing industries. However, many industrial water-based processes rely
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large language models (LLMs), natural language processing (NLP), and/or machine learning, with a verifiable track record (e.g., publications, thesis, or open-source contributions). Proficiency in Python
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Eindhoven University of Technology invites applications for a postdoctoral research position within the recently NRO-funded project AI as a Social Agent to Support Group Learning Processes (CLARA