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comprehension and production and human-computer interaction. The program includes both fundamental and applied research, the latter often in externally funded research projects, in close collaboration with
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detailed data about forest ecosystems. To convert the captured data into meaningful information about the forest environment we seek a PhD candidate who wishes to advance state-of-the-art computer vision
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research projects that contribute to the goals of this PhD project. We offer a stimulating and interactive research environment, free use of all state-of-the-art facilities, a competitive salary. We offer a
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, and valued across scientific, technological, and creative domains. Potential PhD projects may investigate how human and algorithmic actors interact in generating and assessing innovations, and how
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for sustainable life, based on science and education. Through our focus on the interaction between humans, animals and ecosystems and the responsible use of natural resources, we contribute to sustainable societal
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, many publications lack complete, structured representations of their computational processes. This PhD project involves a GenAI-based approach to replicate and rebuild scientific data analysis workflows
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sediment surges that transform rivers, degrade water quality, and increase flood risk. This PhD will investigate how fire and flood interact to drive these cascading hazards, from hillslopes to rivers
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of bacteria in the human gut, in-depth work with next-generation as well as 3rd generation sequencing technologies, then this PhD will be right for you. The ideal candidate will enjoy learning about metagenomic
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that you are particularly suitable for a PhD education. You must meet the requirements for admission to the faculty's Doctoral Programme : IV e81910a4-558b-c56c-7dcb-8daa7ba91f48 Preferred selection
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in higher education and research, in and outside academia. This PhD fellowship is part of the newly established AI Centre for the Empowerment of Human Learning (AI LEARN) .Six national research centers