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of topics is covered, from large-scale data management to data mining and data analytics (including machine learning and deep learning); from high-performance computing to high-performance analytics
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at the interface of data science and the scientific domains pursued at the three participating Helmholtz centers. Methodologically, a broad range of topics is covered, from large-scale data management to data mining
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the requirements specified in previous text). All material must be included in one compiled pdf file. The file should be named indicating the surname of the applicant and (in order of preference) the three preferred
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in agreement with the requirements specified in previous text). All material must be included in one compiled pdf file. The file should be named indicating the surname of the applicant and (in order of
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/RDF knowledge graphs, SPARQL endpoints, and open benchmarking suites to guarantee FAIR, reusable research data Mine and link structure-property relationships from DFT, MD, phase-field, TEM/SEM, and
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of the candidate (e.g., recommendation letters, research project/statement in agreement with the requirements specified in previous text). All material must be in-cluded in one compiled pdf file. The file should be
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., recommendation letters, research project/statement in agreement with the requirements specified in previous text). All material must be in-cluded in one compiled pdf file. The file should be named indicating
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Leibniz-Institute for Plant Genetics and Crop Plant Research | Neu Seeland, Brandenburg | Germany | 9 days ago
of computational load for such a development. In the frame of a third party funded research project, we are looking for a PhD Student to work on and develop breeding strategies to mine Winter-wheat accessions stored
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letters, research project/statement in agreement with the requirements specified in previous text). All material must be in-cluded in one compiled pdf file. The file should be named indicating the surname
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ontology alignment in physics and materials domains Build and maintain ontologies, OWL/RDF knowledge graphs, SPARQL endpoints, and open benchmarking suites to guarantee FAIR, reusable research data Mine and