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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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Max Planck Institute of Molecular Plant Physiology • | Potsdam, Brandenburg | Germany | about 11 hours 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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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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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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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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-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