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, but current methods are not always efficient or optimal. The process lacks an intelligent, informed approach to selecting the best grinding parameters, which can lead to inefficient maintenance actions
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are evaluated in controlled settings and do not fully capture the realities of large-scale ecological applications. This PhD project will investigate Long-Tailed Open-Ended Semantic Segmentation (LTOESS), a
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. • Exploring strategies of flow control to enhance heat transfer efficiency. The successful candidate will collaborate closely with a multidisciplinary team at SLB Cambridge Research (SCR), part of SLB’s global
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