Event Location

Contact

Olaf Hauk
Tel. no. +44 (0) 1223 7 69490
E-mail: cognestic@mrc-cbu.cam.ac.uk  

More Information

To apply for a place, please email cognestic@mrc-cbu.cam.ac.uk  and provide the following information collated into one PDF document:
•    Your full name, current status (e.g. PhD student or post-doc), and your current affiliation with city and country (no abbreviations).
•    Your statement (max 250 words), focussing on your reasons to apply for a place at COGNESTIC, briefly describing your scientific background (current and planned research) and how COGNESTIC will benefit your future work.
•    A brief statement from your supervisor in support of your application (max 1 page, as letter with letter head and signature), confirming the plan to obtain funding.
•    A brief statement how you are planning to fund your registration and stay in Cambridge during COGNESTIC (note that we do not provide accommodation).

What to Expect:
•    Hands-on Training with Open-Source Tools: Engage with powerful neuroimaging analysis software like DiPy, Nilearn, MNE-Python, FSL, Freesurfer, fMRIprep, and BIDS tools. Learn to build reproducible analysis pipelines based primarily on Python for reliable and robust data analysis.
•    Expert-led Theory and Practice: Each session combines theoretical foundations with practical demonstrations and hands-on practice, giving you ample opportunity to apply new techniques.
•    Comprehensive Pre-course Materials: Access online materials before the event, including custom video content from our expert tutors, to maximize your learning experience.
•    Guest Lectures: Hear from leading principal investigators about the latest advancements in cognitive and clinical neuroscience applications.
•    Guided Lab Tours: Explore the state-of-the-art CBU lab facilities, with discussions on best practices in data acquisition.
This summer school offers a collaborative environment where you can connect with tutors and peers, share insights, and build skills essential for success in neuroimaging research.