Events Calendar

Welcome to your calendar for data science events! Dive into a curated list of courses, conferences, seminars, workshops, and key deadlines. Tailor your search to match your interests by adjusting the event category filters. For those specifically looking for PhD courses, simply modify the filter settings to include these events as well. Stay connected and up-to-date with the latest in data science, all in one place.


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Small-angle scattering: Principles, data analysis, and advanced modeling

August 18 @ 6:00 pm - August 23 @ 6:00 pm

Free
This course will introduce you to the methods of small-angle scattering using x-rays and neutrons. The course will have a strong hands-on approach using a mixture of lectures combined with simulations and walked-through analysis examples giving you direct experience with a range of the most common lines of attack for SAS data analysis. We aim to work on actual experimental data – either measured using University of Copenhagen’s 3 different SAXS machines but could also be your own data from elsewhere – we will determine this upon your registration on the course. The course is evaluated through active participation, hand-ins during the course and also a final report.
The course is relevant for all fields of material science where structure on the nanoscale is important and for students aiming to use SAS in their project, for example polymer science, food science, plant science, nanoparticle research, soft matter physics, drug-delivery etc. The course allows up to 30 students – in principle first come, first served – but the organizers will evaluate suitability of all applicants.
Attending the course is free of charge; participants will have to cover travel expenses and accommodation themselves.
Please sign up by using the course link below.

Details

Start:
August 18 @ 6:00 pm
End:
August 23 @ 6:00 pm
Cost:
Free
Website:
https://phdcourses.ku.dk/DetailKursus.aspx?id=111928&sitepath=NAT

Other

Organiser's email address
mcpe@nbi.ku.dk
Event language
English
Event Type
PhD course