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Project title: Privacy/Security Risks in Machine/Federated Learning systems Supervisory Team: Dr Han Wu Project description: In the wake of growing data privacy concerns and the enactment
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Master's students Information event “Studying and Then Earning a Doctorate?” Exposé writing in humanities and social sciences Individual advice/guidance Faculties Faculty 01: Law Faculty 02: Economics and
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hierarchies during cardiac, endothelial and hematopoietic development. Responsibility: * Develop or integrate novel statistical methods and algorithms for analyzing large-scale -omics data, including gene
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deadline The application deadline has not yet been determined. Please check our website (www.ec2-big-nse.de ). Tuition fees per semester in EUR None Combined Master's degree / PhD programme No Joint degree
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is carried out within the LHCb collaboration that runs one of the four large experiments at the Large Hadron Collider at CERN as well as towards future collider developments. I supervise a number of
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, large-scale trade in zoo animals, and the reintroduction of endangered species). De Bont is a highly productive researcher whose work has been published by leading international science publishers and in
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I specialise in the numerical modelling of high-energy particle collisions , such as those occurring at the Large Hadron Collider. Accordingly, most projects I offer straddle the intersection
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-of-the-art methods for evaluating treatment effects from randomized and observational data sources that are subject to multiple forms of bias due to, for example, missingness, censoring, irregular assessment
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algorithms are used that allow a computer to process large data-sets and learn patterns and behaviours, thus allowing them to respond when the same patterns are seen in new data. This include 'supervised
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). • Experience handling large datasets from empirical studies, surveys and GIS desirable. • Interest and experience conducting research in livestock systems, agricultural technologies. • Interest in