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for molecular systems and thin films in combination with AI-driven process optimization. Help us shape the future of chemical research! Self-driving lab platform for photochemical and porosity research Join a
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optimization of welding and AM consumables and structural alloys; prepares research results for technical reports to sponsors and for scholarly publications; prepares presentations on relevant research findings
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experiments to investigate the activity and specificity of selected proteases. 3. Advanced fluorescence measurements and quantitative imaging Performing and optimizing fluorescence-based measurements, including
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well as performing biochemical experiments to investigate the activity and specificity of selected proteases. 3. Advanced fluorescence measurements and quantitative imaging Performing and optimizing fluorescence-based
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optimization of advanced energy storage systems utilizing coal-derived and other carbon materials as battery electrodes. The successful candidate will conduct experimental research spanning materials development
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supercomputer, the world's first exascale computing system. This is a unique opportunity to engage in transformational research that advances the development of AI-ready scientific data, optimized workflows, and
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multiple ship classes and shore power applications. The project seeks to deliver industry-relevant modelling toolkits that enable optimal design and operation of greener vessels, backed by real-world
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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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such as Bayesian modelling and optimal control theory. Using state-of-the-art methods – including virtual reality, wearable sensing, motion platforms and advanced data analytics – you will place particular
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formulations with PFAS-free binders, in line with the sustainability goals of the project. You will explore compositions and pellet morphologies to optimize mass transport and reactivity with the mediator