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Field
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. Programming hardware control and user interfaces for data capture, and automation to enable these techniques. Writing and publishing journal papers on experimental findings. Playing an active role in the day-to
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three of the following areas: Python programming Develop LLM-based tools to automate data connector generation for data ingestion. Design and implement a multi-layered storage strategy for scalable PBM
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renovation construction work · evaluate (numerical or data driven) solutions for automated coordinated planning · develop and evaluate self-learning interactive visualisation technologies
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developing AI methods for automated microstructure analysis and 3D microstructure generation. By combining self-supervised learning and diffusion-based generative models, the goal is to: Reconstruct high
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and a willingness to further develop those skills to automate your data processing and improve your own workflow efficiency are expected. You have a strong interest in catalysis and structure-function
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related field, and will have experience with cell-free protein expression systems, protein engineering, high throughput screening and lab automation. Extensive experience with recombinant protein expression
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. Corman and the Institute for Transport Planning and Systems. This project investigates the mathematical, physical, technical, and organizational conditions necessary to enable higher levels of automation
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of contributions from various sources such as plants and soil microbes. In this position were seeking a candidate interested in soil ecology, root traits and fieldwork and linking this with automated ‘minirhizotron
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marine mammals. The PhD will work on characterization of underwater soundscapes to evaluate impacts of wind farms on the behaviour of fish and marine mammals. A main task is to work on automated
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automated rankings. The research includes real-world validation using university admissions data and will contribute to the broader fields of AI in education and ethical decision-making. This PhD research