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Field
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Applications are invited to undertake a three-year PhD programme in partnership with industry to address key challenges in manufacturing engineering. The successful candidate will be based
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are invited to undertake a three-year PhD programme in partnership with industry to address key challenges in on-platform manufacturing engineering. The successful candidate will be based at the Rolls-Royce
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powerful framework for decentralised machine learning. FL enables multiple entities to collaboratively train a global machine learning model without sharing their private data, thus enhancing privacy
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et al., 2020). It provides a single-session, universal intervention delivered to between 10 and 200 individuals at a time, and it contrasts with other online programs that are formed from multiple
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interventions are maintained in the context of stressors. In order to examine these questions, the project will use multiple methods such as experience sampling, laboratory tasks, and a randomized-controlled
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well as for the concrete planning and management of neighborhood and building solutions. As part of our mission to develop smart solutions to tackle the climate change, we have launched a PhD programme with TU Munich
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Vacancies Two PhD positions on Flexible and User-adaptive statistical inference Key takeaways You will develop a mathematical framework for multiple testing, enabling flexibility in study design
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disciplines. For details please see the programme information for the Philipp Franz von Siebold Award. Programme information (PDF, 119 KB) List of award winners The sponsorship The award amount is €80,000
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the Laboratory for Molecular Infection Medicine Sweden (MIMS), and have the chance to use the multiple facilities (e.g., NMR, metabolomics, protein expression, cryoEM) for a successful PhD. In
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Humboldt Research Award programme information. Humboldt Research Award programme information (PDF, 63 KB) Recently selected award winners Hint Online info event: If you would like to learn more about this