Alle Termine und Veranstaltungen

Jede zweite Woche am Freitag laden wir zu einem Gespräch bei einer Tasse Kaffee außerhalb des Kontrollraums ein. Lernen Sie das Team der Nutzerkoordination kennen, treffen Sie Ihren Beamline Scientist und tanken Sie Koffein für die letzte Etappe der Woche.

Welcome to the HZB Photon School 2026 to be held in a hybrid format at the BESSY II Synchrotron Light Source at the Wilhelm-Conrad-Röntgen-Campus, Berlin-Adlershof. Lectures will take place online and on-site from 23 to 27 March 2026, while the practical training sessions will be conducted on-site only from 30 March to 2 April 2026 (*). 

(*) subject to BESSY II being operated at a level that allows access of external users.

About the School and Participation

The school is primarily aimed at master´s students and early-career researchers in physics, chemistry, materials science, engineering, life, or environmental sciences. Participants will be introduced to synchrotron and laboratory-based characterisation methods that probe the molecular structure, function, and dynamics of complex material systems.

Application Deadline: 16 November 2025 (CET, 23:59).

BESSY II FAIR Datathon: Standardizing science through FAIR data is a hands-on workshop dedicated to tackling one of the key challenges in modern materials science—managing and integrating heterogeneous data and file formats. During this event, participants will develop practical workflows and gain experience with tools that support data standardization using the NeXus common data standards. Through collaborative problem-solving and guided exercises, attendees will learn how to make experimental data more Findable, Accessible, Interoperable, and Reusable (FAIR), paving the way for more efficient and reproducible scientific research.

Specifically, you will: Learn to use the research data management platform (NOMAD) to manage your scientific data yourself in a FAIR way Learn to use, contribute to, and develop community-agreed data standards (NeXus) in your experiment to increase reusability Write a FAIR data conversion workflow of your own example Who should attend: Postdocs, PhDs, and researchers doing experiments (XAS, photoemission spectroscopy, etc.) at the Synchrotron facility, such as BESSY II Early career researcher willing to learn to manage their scientific data, complying FAIR principle Requirements: Basic knowledge of Python is advantageous Example dataset to work with during the datathon Sharing of the example dataset before the application deadline Participation in a pre-datathon remote meeting (two weeks before the event) Good command of the English language 

Registration: https://events.hifis.net/event/3274/