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nucleation pathways related to different emissions characteristics at the engine exhaust. The collected data would be helpful to validate the microphysics models for ice nucleation process, hence clarifying
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data would be helpful to validate the microphysics models for ice nucleation process, hence clarifying the different nucleation pathways for ice formation. You will collaborate with other researchers
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Are you fascinated by atomic-scale control of materials for future semiconductor and energy technologies? We are looking for three ambitious postdocs to work on advanced atomic layer processing
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Are you interested in (re)entering biotech research? This position supports a non-linear career path with a focus on implementing process analytical technology into bioprocesses. Job description
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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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-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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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