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the opportunity to contribute to the Public Science Lab, the Ethical Data Initiative (www.ethicaldatainitiative.org), the TransforM excellence cluster and the PHIL_OS project (https
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(m/f/d) in Graph Learning. Project overview This position offers a rare opportunity to contribute to the future of machine learning for graph-structured data. While machine learning has transformed
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of molecular data. While machine learning has transformed fields such as computer vision and natural language processing, the molecular life sciences remain a rich frontier for methodological innovation
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data science with fundamental or applied studies with relevance to the crop science industry. Students from Germany who are going abroad for a study or research project or practical work experience or
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available in the further tabs (e.g. “Application requirements”). Programme Description The scholarships are aimed at Master's and PhD students from all scientific disciplines including pharmacy and data
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young scientists worldwide to German research institutions. For more information, see here . The position is suitable for disabled persons. Disabled applicants will be given preference in case
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covered by other funding providers: Further information Further information For further information see: www.daad.de/dlr Application requirements What requirements must be met? At the time of
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or more. Selection Applications are reviewed and selected by a DAAD selection committee. The approval of the K.C. Wong Education Foundation is then required. Further information The DAAD will not consider
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sciences, public health, or data science in medicine. Academic Requirements Master's or PhD students; Bachelor's students and postdocs cannot receive funding. Duration up to 6 months Scholarship Value
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. Application Papers You will find all application forms and further information on the application procedure here . Application Deadline Applicable deadlines will be published on the website .