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Status: Closed Applications open: 1/07/2024 Applications close: 18/08/2024 View printable version [.pdf] About this scholarship Description/Applicant information Project Overview About 12 billion
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the use of large data sets for illness ‘near forecasting’, support for improved immunisation strategy and non-pharmaceutical interventions (e.g. mask wearing), and direct observation of population and
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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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Max Planck Institute of Molecular Plant Physiology • | Potsdam, Brandenburg | Germany | about 1 hour ago
signals perceived, and how is information transmitted and integrated to ensure plant health, survival, biomass acquisition and seed formation? How can we manage, analyse and integrate complex, large-scale
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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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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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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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, 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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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