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, • Distributed Artificial Intelligence, • Decentralized & Federated Learning, • Knowledge-based Systems, • Large-scale Data Analytics, • Big Data Systems, • Data Mining
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of facilitation skills and practical application of process improvement tools in individual and group settings. Desirable: D1 Data collation and or data mining skills. D2 Change management skills. Experience
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of data, as neither the receiving mobile devices nor the broadcasting satellites are fixed, some novel data mining techniques, based on already existing statistical, ML, and AI techniques, need to be
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will focus on the detailed individual analysis of Staufen1:RNA complexes in vitro; as well as on gathering detailed information of such assemblies combining light and electron microscopy approaches
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, and hydrological cycles over millennia. The project adopts a holistic approach by integrating the organic geochemical data with complementary datasets already collected, such as grain size and magnetic
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upon genetic results. Techniques used: you will be trained in a large variety of techniques including epidemiology, statistical genetics, in silico data mining, cell culture including CRISPR-based genome
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endosymbiosis that is unique among eukaryotes because it does not involve an originally photosynthetic symbiont. Genomic data indicate that the basic physiology of Perkinsela shares many biochemical features with