Objective
The training network consists of six multi-discplinary laboratories (from 5 partner institutions), which will train 12 experienced and 12 early stage researchers during four years.
The aims of the training program are:
1) Train sleep researchers who will be come familiar with basic skills in all relevant areas of sleep research, including basic sleep research, experimental sleep research, clinical sleep research and sociological aspects of sleep. We particularly emphasize the need to integrate social and biomedical research in order to create new ways of thinking and enhanced understanding.
2) Teach the researchers through international collaboration: to use available resources flexibly, make the most of the existing resources and share information.
3) Train researchers from less developed areas of Europe, who after the training can improve expertise in sleep research in their home countries.
A carefully planned training program, executed by leading sleep research laboratories in Europe, will provide the researchers not only with excellent scientific knowledge but also with experience in international collaboration and an extensive network of contacts with other sleep researchers. The aim of the research, executed in the six laboratories, is to identify factors (molecular, physiological, behavioural and sociological) causing sleep loss and clarify the physiological and behavioural consequences of sleep loss. How age, gender, clock genetics and social context impact these responses will be investigated among both women and men at different stages of the life course.
Also, we will assess how the response to sleep loss is associated with risk factors for cardiovascular diseases and diabetes. These findings will help to alleviate the detrimental consequences of sleep loss and effectively treat sleep disorders, improve the quality of life, promote healthy aging and help people to stay employed longer.
Fields of science (EuroSciVoc)
CORDIS classifies projects with EuroSciVoc, a multilingual taxonomy of fields of science, through a semi-automatic process based on NLP techniques.
CORDIS classifies projects with EuroSciVoc, a multilingual taxonomy of fields of science, through a semi-automatic process based on NLP techniques.
- medical and health sciencesclinical medicinepsychiatrysleep disorders
- medical and health sciencesclinical medicineendocrinologydiabetes
- social sciencessociologysocial issuessocial inequalities
- medical and health sciencesbasic medicineimmunology
- medical and health sciencesclinical medicinecardiologycardiovascular diseases
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Call for proposal
FP6-2002-MOBILITY-1
See other projects for this call
Funding Scheme
RTN - Marie Curie actions-Research Training NetworksCoordinator
HELSINGIN YLIOPISTO, HELSINKI
Finland