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environmental engineering. A collaborative and analytical mindset, with the ability to synthesize complex information across experimental and theoretical domains. Enthusiasm for advanced electron microscopy
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, offering targeted training in drone technology, data analytics, regulatory aspects, project management, and leadership skills. This ensures you graduate not only as a specialist in your field but also as a
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; EPSRC Centre for Doctoral Training in Green Industrial Futures | Edinburgh, Scotland | United Kingdom | 20 days ago
, further exploring the carbon-related impact of polymer breakdown. The project will also incorporate artificial intelligence (AI) and machine learning to optimise degradation processes and data analysis
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, especially in ultracold quantum gases or condensed matter theory Proven analytical, computational, and modelling skills Experience with numerical simulations of quantum or many-body systems A deep curiosity
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network analysis of interactions between these features. These pipelines and computational tools will be used to integrate imaging and genetic data, and maps of myelin distribution in the cortical grey
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consisting of PAT and mechanistic / data driven modelling allowing process control. Steps to be taken will be: Developing a process applicable PAT method (single / multisensoric) for AAV / LNP / VLP detection
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, finance, and healthcare, where data integrity and system reliability are non-negotiable. This PhD project addresses the integration of robust security measures within AI-enabled electronic systems
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, geometallurgy or related field Experience in either stochastics, deep learning or minerals processing is needed Structured and solution-oriented working style, analytical thinking and above-average committment
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. The ideal candidate will possess strong statistical and analytical skills (as mentioned above) and excellent English communication abilities. He/she should also demonstrate the ability to assess datasets, use
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. However, as membrane-bound proteins, these receptors are extremely challenging to study using conventional analytical approaches. In this project, you will apply cutting-edge nuclear magnetic resonance (NMR