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assimilation. The task for the successful candidate is to generate atmospheric fields for given time instances that are as close as possible to a given set of pointwise observations. The candidate will train a
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remains fragmented, with sectors operating under different institutional structures and priorities. HERITOUR investigates how current collaborations function and how cross-sectoral policies can be developed
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inlet boundary layers. Together, these features can significantly alter the formation, strength, and development of secondary flows. This PhD project focuses on understanding turbine secondary flows under
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) to work on the development of an Amazonian Early Warning System (AmEWS) integrating Earth Observation data, process-based ecosystem models, and advanced machine learning approaches. The position is embedded
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working with deep learning software stacks, extensive software development experience, and knowledge of machine learning frameworks (such as transformers, torch, Megatron, triton etc.) are pluses. MSc
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can occur that are very different to the macroscopic world. Our group develops methods to measure and ‘see’ this atomic detail using some of the world’s most powerful electron microscopes. We apply
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, the projects combine classical microbiology, microbial physiology, experimental evolution, and omics-based approaches to link microbial interactions and system performance across spatial and functional scales
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sequencing technologies (such as nanopore sequencing) has enabled the discovery and analysis of complex regions of the genome for the first time. Novel long read sequencing approaches developed in the Ryan
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Job Description As part of our Novo Nordisk Foundation Challenge Grant Energy Materials for the GUT (EMGUT), we are seeking a highly motivated PhD student to advance the development and testing
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studies, sociology, anthropology, community development) or relevant undergraduate degree with honours demonstrated research capacity and critical thinking skills commitment to critical, feminist