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. At NTNU, 9,000 employees and 43,000 students work to create knowledge for a better world. You will find more information about working at NTNU and the application process here. ... (Video unable to load
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Applications are invited for a position in the rapidly expanding data analytics run by Prof Adam Dubis. The main focus of the team is to develop deep learning tools for prediction of disease progression
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(crowding, concentration of nutrients, size of liposome, etc.) with gene expression levels across a synthetic genome. To achieve this aim, you will use VASA-seq and Ribo-Seq to generate large data sets
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are possible (in coordination with Prof Ulrik Egede) or with other Monash supervisors on a case-by-case basis. "Confronting Theory and Experiment at the Large Hadron Collider" "Simulations of Quark and Gluon
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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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, 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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employees). As an equal opportunity employer, the Leibniz-HKI is committed to increasing the percentage of female scientists and therefore especially encourages them to apply. For further information: Prof
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I work on a wide range of topics with my local group and in collaboration with numerous members of three large international collaborations. The main focus of my work is understanding how
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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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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