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the understanding of large-scale irrigation-atmosphere interactions. You will use state-of-the-art global satellite remote-sensing data to analyse the impact of irrigation on cloud and rain formation. This will
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Performing atom probe tomography Application of deep learning algorithms for the correlation of the obtained experimental data and their analysis The majority of the work will be undertaken in Hamburg Your
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around 30,000 people in nearly 15,000 households. SOEP aims to capture social change and thus handles a constant stream of new and diverse topics and tasks. Its data collection and generation adhere
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or infrastructure. This is what makes our daily work so meaningful and exciting. The Division of Computational Genomics and Systems Genetics is seeking from October 2025 a PhD Student in Deep Learning for Rare
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Your Job: Against this background, this PhD thesis aims to investigate how water availability affects the energy transition. The goal is to achieve a sustainable energy and water supply and to
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The Institute for Infection Prevention and Control (IPC, Head Prof. Dr. Philipp Henneke) is looking as soon as possible for a Bioinformatician (m/f/d, PhD) with focus on the analysis of large
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enable the model to infer health-related information directly from NMR spectra of human blood. To this end, the model will be pre-trained using self-supervised learning on large-scale, partly synthetic
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politicians and patients/ elderly members of the community) who are currently involved in a large-scale attempt to develop and test new digital care technologies in the region. These technologies (including
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school is optional. Only a few PhD programmes at Heidelberg University require it. This depends on the faculty to which you apply. The information provided in this entry applies only to HGS MathComp
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. Our most recent project is to characterize the function and genetic control of root anatomical traits in maize to enhance drought tolerance. This PhD project is part of a large consortium, including