CMN-DDA PhD & Postdoc Online Course on Metabolic Aspects of the Brain Muscle Axis

NOW ONLY OPEN FOR REGISTRATION WITHOUT SUBMISSION OF ABSTRACT
The online course on Metabolic Aspects of the Brain Muscle Axis aims to expand participants’ knowledge in aspects of metabolic science and to gather experienced and early stage metabolic researchers from Denmark and Cambridge to promote collaboration across borders. Specific topics include amino acid sensing in brain; work with stem cells in vivo; muscle metabolism and exercise.
The online course will be followed up by an optional workshop at the beginning of next year in Cambridge.
- Time & place
- Who can attend?
- Detailed description
- Programme & speakers
- Organisers
- Registration & submission of abstract
- Additional information
TIME & PLACE
Time: 3-4 September 2020, 9:00 – 12:00 PM & 1.30 – 2.30 (BST)
Online course
WHO CAN ATTEND?
PhD students and early stage postdoctoral researchers interested in developing their research in any of the areas described can attend.
For the poster sessions 15 seats are available for Danish researchers and 15 seats for researchers from Cambridge. Most have already been allocated but there may be one or two spaces still available. Participants for the poster sessions will be selected based on their submitted abstract. If you are interested then please enquire via email to jette.husum@rsyd.dk to confirm places are still available before preparing your abstract. Others are welcome to take part without submitting an abstract.
DETAILED DESCRIPTION
The CMN-DDA course on Metabolic Aspects of the Brain Muscle Axis offers a chance to learn about the latest research from group leaders and Research Associates based in Danish and Cambridge institutions. Speakers will address the following research areas:
- How the brain senses nutrient and metabolic status
- Working with stem cells to understand metabolic disease
- The role of exercise in healthy muscle metabolism.
Additional time for discussions around next challenges for the research areas covered in each session will be programmed in order to maximise the likelihood of developing useful collaborations. Limited places will be allocated on the basis of abstracts that address questions to promote collaborative thinking (see further details under ‘registration and submission of abstracts’).
In order to reduce the online time on 3-4 September, there will be some preparation for the course in the form of 9 short webcasts by the main speakers. The preparation time should take no longer than 2-3 hours.
PROGRAMME & SPEAKERS
Speakers:
Christoffer Clemmensen, Associate Professor, University of Copenhagen (DK)
Clemence Blouet, Group Leader Track, University of Cambridge (UK)
- Daniel Fazakerley, Senior Research Associate, Dr, University of Cambridge (UK)
- Florian Merkle, Senior Research Associate, Dr, University of Cambridge (UK)
- Heather Blackmore, Research Associate, University of Cambridge (UK)
- Jean Farup, Assistant Professor, Aarhus University (DK)
- Lykke Sylow Assistant Professor, University of Copenhagen (DK)
- Rasmus Kjøbsted, Postdoctoral fellow, University of Copenhagen (DK)
- Lin Lin, Associate Professor, Aarhus University (DK)
ORGANISERS
- Clemence Blouet, Dr. PhD, MRC Metabolic Diseases Unit, University of Cambridge (UK)
- Jørgen Jensen, Professor, Department of Physical Performance, Norwegian School of Sport Sciences (NO)
- Niels Jessen, Head of Research, Professor, Department of Clinical Medicine and Department of Biomedicine, Aarhus University (DK)
Metabolic Network of the University of Cambridge (UK)
Network Coordinator, Angela Lumsdon, aml95@medschl.cam.ac.uk
Danish Diabetes Academy (DK)
Education Manager, Jette Husum, ouh.dda@rsyd.dk / Tel: +45 24674820
REGISTRATION & submission of abstract
Registration dedline for submission of abstract: 16 August 2020
Registration without submission of abstract 31 August 2020.
Format of abstract:
All participants selected on the basis of their abstract will be invited to present a poster online. Posters (and therefore abstracts) should not simply discuss recent data but should also address questions that promote collaborative thinking, for example, which data would you like to have in order to address your research questions; could novel models be used in another context; how might your research relate to other research areas?
The abstract should be max 1500 characters incl. spaces and written in Arial 10. Please include the following components when applicable:
Title of abstract
Presenting author name(s)
Affiliation: Name of workplace incl. city and country
Background and aim:
Text in Arial 10
Material and methods:
Text in Arial 10
Results (if you have results)
Text in Arial 10
Conclusions and discussion (and see general note above)
Text in Arial 10
No photos and tables should be included in the abstract.
Please submit your abstract in Word-format
In addition to your online poster, you will also be required to prepare a one-minute poster pitch together with one slide to be presented during the live event.
ADDITIONAL INFORMATION
Certification
A course certificate will be sent to all participants upon request at the end of the course. Full participation is required to attain ECTS point. ECTS points: 1,1