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Field
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. The acquired and already existing database will be used to further develop ML models for the automated detection of clinically relevant markers. The goal is to develop the technique towards potential clinical
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automated workflow for high-level quantum chemical calculations and we have generated thousands of examples relating to the reactivity of molecules for a specific chemical reaction. This project will evaluate
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automated workflow for high-level quantum chemical calculations and we have generated thousands of examples relating to the reactivity of molecules for a specific chemical reaction. This project will evaluate
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for automation of Hydrogen Deuterium Mass Spectrometry, which can connect structure, behaviour and function of proteins, for understanding diseases and developing drug and vaccine treatments. Modern AI techniques
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causative treatment in the patients. Work will employ genetic tools, manual and automated patch-clamp measurements, immunohistochemistry, confocal/STED imaging, light-sheet fluorescence microscopy, and
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qualifications: a PhD or equivalent research qualification within chemical engineering or water and environmental engineering In-depth knowledge in process engineering and process automation Knowledge and skills
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advances in automation, analytics and data science, has fundamentally changed the scope and ambition of harnessing the potential of biological systems. Big data approaches and analysis of biological systems
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and write genomic code, combined with advances in automation, analytics and data science, has fundamentally changed the scope and ambition of harnessing the potential of biological systems. Big data
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time series prediction for sustainable practices. As explanations are ultimately for end users, it is crucial to consider how they can impact trust in automated decision-making, creating a need for human
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markers/sensors and ii) automated assays based on high-content imaging systems to screen diverse chemical libraries for new and innovative bioactive molecules. This project will be highly collaborative and