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Several types of polymeric materials undergo rapid degradation under both storage and use, unless antioxidants and stabilisers are added to suppress undesirable reactions. This project is co-funded
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aluminium through AI-driven microstructural analysis. About us The PhD candidate will work at the Division of Data Science and AI , in the neuro-symbolic research group. This group works with combinations
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multiple institutions, and more details can be found at the project website: Project Website: www.raicam.eu Eligibility Criteria • Not have resided or carried out your main activity (work, studies, etc.) in
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one of the following analysis techniques (multiple preferred): normative modelling, dimensionality reduction techniques, machine learning, deep-learning, state space modelling, advanced statistics
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engineering, medical physics, image analysis, computational neuroscience or quantitative psychology is desirable. If you would like to work on a PhD project about biological understanding of human diseases and
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conversion of CO₂ into renewable fuels. Central to this effort is the investigation of advanced catalytic systems that bring together multiple functionalities, including components responsive to plasma
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will include: 1. Implementing and quality-assuring MR Fingerprinting scans on multiple clinical scanners 2. Integrating advanced imaging tools for image processing and analysis. 3. Coordinating closely
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) therapy on the biology of γδ T cells and how can we use this knowledge to help us predict the success of therapy and prevent the development of side-effects. Position 1 will focus on the cellular and
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and data analysis. Excellent interpersonal and communication skills. Task-related Competencies Design and prepare research materials and conduct analyses of the research findings. Work collaboratively
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, optimization techniques, and climate change scenario analysis. The successful candidate will contribute to the development of intelligent models and decision-support tools that enhance the performance