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this project, you will investigate the optimal conditions and underlying mechanisms of Imagery Rescripting, a treatment aimed at alleviating distressing memories. You will begin by examining how
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the operational lifespan and reduce the overall weight of wind turbines. By innovating ways to lower mechanical loads on critical components and optimizing material usage, we aim to pave the way for a truly
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EU programme Is the Job related to staff position within a Research Infrastructure? No Offer Description We are looking for a PhD student who would like to optimize the use of real-world data (RWD
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that control synaptic transmission and plasticity at various levels and using a variety of techniques and analysis tools that we developed. Where to apply Website https://www.academictransfer.com/en/jobs/359921
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reduce the overall weight of wind turbines. By innovating ways to lower mechanical loads on critical components and optimizing material usage, we aim to pave the way for a truly circular wind energy sector
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to lower mechanical loads on critical components and optimizing material usage, we aim to pave the way for a truly circular wind energy sector. Your Role A key pillar of ECOWIND is bridging the gap between
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(including automatic code generation), AOCS hardware, and spacecraft avionics Pointing error engineering Advanced control, optimization and estimation techniques Smallsat and nanosat AOCS Laboratory facility
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MRI measurements can be translated into meaningful input for predicting optimal sensor phase configurations and feedback control; Identify pathways towards the integration of domain knowledge about MRI
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. In this project, we aim to prove the concept of hard/soft concrete composites. The research will include: Computational modelling and optimization of concrete architectures Experimental testing and
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PhD position ‘Courage to Correct: Balancing Error Prevention and Learning in Strategic Crisis Teams’
focus on error management is insufficient. Instead, optimal performance emerges from balancing error management with error prevention (Van der Byl et al., 2023). Emerging theory argues for performance