GRADnet Induction Day

SEPnet Graduate Network Managergradnet@sepnet.ac.uk

Cristobel Soares

A one day introduction to GRADnet to learn more about training opportunities and to meet fellow researchers from across the network.

International Students House

Who: 1st Year Physics PhD students. All SEPnet Departments expect all new students to attend. When: Wednesday, 23 October 2024, 10:15-16:15 Where: International Students House, 229 Great Portland Street, London W1B 1PF What: A one day introduction to GRADnet to learn more about training opportunities, to meet fellow researchers from across the network and to participate in three short workshops designed to get you started in key areas of activity. Choose 2 workshops on arrival; attend one in the morning and one in the afternoon: Publication and peer review: how to make it as an author and a reviewer: This interactive workshop, delivered by experts from IOP Publishing, walks you through the entire publication and peer review process. Science communications skills: Want to explore ways of sharing your research with many different audiences? It is now more important than ever to be able to communicate with non-specialist groups. Whether it’s a public talk in a pub, writing in your department blog, doing some stand-up comedy, writing a popular science article or simply standing on a box in a street corner, this session will get you started. Outside research the ability to clearly communicate technical details to all sorts of partners will be an asset on any CV. The skills you learn on the day can be put in practice through the many science communication opportunities offered in your department and across the region. DISCnet (Data Intensive Science) software training: Introduction to Machine Learning using ATLAS Open Data: This session will introduce the basics of Machine Learning and how it can be exploited in an experimental physics context. Using real proton-proton collision data from the ATLAS experiment at CERN we will explore some hands-on examples implementing some of the most commonly used techniques. Some basic experience with python is required, however no knowledge of ML is necessary. <a href="http://www.sepnet.ac.uk/privacy-and-cookies/" title="http://www.sepnet.ac.uk/privacy-and-cookies/" target="_blank" data-msys-clicktrack="0" rel="nofollow noopener noreferrer">For Privacy and Data Protection Policy see here.</a>

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GRADnet Induction Day

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GRADnet Induction Day

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