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Field
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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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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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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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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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. 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
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. Programme duration 7 semesters Beginning Only for doctoral programmes: any time Application deadline Please see https://flores.unu.edu/en/education/phd-programme for current information. Tuition fees per
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Your Job: This PhD thesis aims to quantitatively study the initial stages of light conversion into electrical signals in Si-based photovoltaic devices. The research will employ off-axis electron
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PhD programme with a focus on data science and research in the structure of matter. The graduate school covers data challenges from application fields such as structural biology, particle physics
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PhD position - Stress-testing future climate-resilient city and neighbourhood concepts (Test4Stress)
Work group: Gerics - Climate Service Center Area of research: Other Part-Time Suitability: The position is suitable for part-time employment. Starting date: 08.05.2025 Job description: PhD position