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is close. Our cohesive campuses make it easy to meet, work together and exchange knowledge, which promotes a dynamic and open culture. The ongoing societal transformation and large green investments in
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local extinction of large-bodied frugivorous birds and mammals, leaving structurally intact yet defaunated forests missing key ecological functions like seed dispersal for large-seeded plants. Studying
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that handle large network sizes and additional information – such as fine-grained temporal information for email traffic or additional neighbourhood structures – are essential. A key challenge in modelling
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(BIGS Mathematics) Teaching language English Languages Courses are held in English only. The thesis can be written either in German or English. Full-time / part-time full-time Programme duration 6
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and advanced causal inference methods to large-scale multi-omics datasets, national health registers, and other comprehensive health-related data sources. Duties The doctoral position is intended
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Autonomous methods for fault or anomaly detection and classification of PV plants with high accuracy are necessary for the monitoring of large-size PV power plants. Objectives also include other
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required Experience with clinical trials Experience with data analysis Experience with RedCAP Experience with large-scale data, such as genomics and transcriptomics data Programming experience, preferably in
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, manipulate large datasets, visualise data and perform numerical and statistical analysis is a requirement. Experience in handling 'big data', machine learning and working in distributed teams, is useful
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methods for causal inference in observational data, is strongly preferred. Using various existing large datasets with rich information for knowledge synthetisation and triangulation over the course of the
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with a systems biology approach in which we will investigate whether the immunological changes in young and elderly are characterized with changes in the gut microbial composition. Currently big data