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Field
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climate data to study occurrence of tundra fires and subsequent regreening across climatic gradients; Remote fieldwork in fire-affected and pristine tundra in the Sisimiut – Kangerlussuaq region, in
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such approaches would be cost effective. To achieve this, you will be supported to undertake analyses using large data registries such as the Clinical Practice Research Datalink. This is an exceptional opportunity
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Max Planck Institute for Heart and Lung Research • | Bad Nauheim, Hessen | Germany | about 8 hours ago
thesis can be written in English. Full-time / part-time full-time Programme duration 6 semesters Beginning Winter semester Additional information on beginning, duration and mode of study PhD students can
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many real-world applications, finding a solution requires high-performance computer clusters that consume large amounts of energy and run for a long time. Our project aims to create a radically new
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, driven by future applications and services for 6G and beyond. Networks are also evolving to support a large variety of signals across larger access and metro network areas. For these novel scenarios
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the ability to simulate the temperature of the canopy-soil system, they provide valuable information on the interactions with the underlying surface. This is particularly important for urban areas where sparse
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Reporting. For any subject-specific queries, please contact Dr Faizul Haque (F.Haque@soton.ac.uk ). Banking and Finance: seeking students with expertise in Big Data Modelling. An MSc degree in Statistics
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Project advert This research will investigate how aquatic macroinvertebrate assemblages and sediment regimes change following the introduction of Large Woody Structures (LWS) into river systems
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-free stipend only (set by the UKVI, £20,780 for 2025/26). Killer waves or extreme waves are large (> 20 meters tall) and unpredictable surface waves that can be extremely dangerous to ships and other
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data analysis, with opportunities to apply your skills to integrating this with other data types (e.g. genomic and transcriptomic). The position is full-time and available for a duration of 4 years