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projects focused on optimization, data analytics, and control of power distribution systems. This position offers the opportunity to collaborate closely with utility company partners and national
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focused on the use of enabling technology, such as flow, to control complex chemical processes. With projects in supramolecular synthesis, organic materials, industry processes, automated optimization, and
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also involve the development and implementation of targeted and higher-throughput drug-discovery screening approaches, including assay optimization, compound testing, quantitative imaging, and validation
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optimization, and crystallisation, we are a multi-disciplinary group with expertise in chemical engineering, organic synthesis, porous materials, and automated and digital approaches. Alongside Prof Slater, you
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. Design, optimize, troubleshoot, and document experimental protocols while maintaining accurate laboratory records and ensuring scientific rigor and reproducibility. Prepare manuscripts for publication
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at cryogenic temperatures with strong polarization and attractive switching characteristics. The interface properties play a critical role but the reduced thermal activation allows different optimization
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processes. Ensure consistency and accuracy across imaging datasets and labeling workflows. Machine Learning & Model Development Support the design, development, and optimization of machine learning and deep
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preclinical tumour models, depending on experience and relevant training. ● Prepare buffers, media and reagents and maintain commonly used laboratory stocks. ● Contribute to the development, optimization and
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FutureFoodS project SpeedyFermHub – which aims to support the development, optimization and scale-up of fermented plant-based food prototypes. Within the project, the Department of Management at Aarhus
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multiple watershed-scale models, and use these models to better optimize the location of stormwater control measures or understand how green infrastructure will perform at watershed-scale under climate