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With the introduction of the concepts of frailty and multimorbidity, medicine has made progress in the prediction and quantification of health risks of (older) individuals, i.e. who will be affected by disease and impairment or not. However, medicine is still largely unable to quantify how people respond when their health is challenged by the occurrence of intermittent disease or by treatment such as surgery or chemotherapy. Also, medicine is unable to predict if and how they will recover from such perturbations. This knowledge is crucial for personalized medicine for older individuals as well as for transforming healthcare to be prepared for the quickly growing health care demands of the aged population.
Resilience is a concept that originates from the study of ecosystems and is the dynamic ability of a system to withstand and recover from stress and perturbation. With the increasing availability of (sensor based) time series on health indicators and the advent of new (dynamic) indicators of resilience, we believe this concept may offer a means to begin to quantify resistance and recovery in medicine, but it needs to be developed and validated for use in this area. This will be your main task.
We offer you the challenge to work at this frontier of clinical research in a multidisciplinary environment where you will collaborate with experts from medicine, epidemiology, systems dynamics, computational science and ecology. As such, the project is closely connected to the work on tipping points and resilience of Prof Marten Scheffer and Dr Ingrid van de Leemput, affiliated to the Wageningen University, and connected to the SPARCS (Synergy Programme for Analysing Resilience and Critical TransitionS) research network.
As a post-doctoral researcher, you will have a leading role in an ambitious and inspiring new research line on resilience in geriatric medicine of the Department of Geriatric Medicine. Projects of this Resilience line focus on studying and modeling resilience of older patients during hospital admission and of older persons with cognitive impairment. Alongside Evidence Based Medicine principles as a first basis of our work, the department complementarily has chosen the complex systems science paradigm to integrate and develop our patient care, training and research activities, as we believe this offers the best chances to arrive at personalized medicine and have true impact. The resilience research line fits seamlessly into this direction.
Tasks and responsibilities
The researcher will:
Fixed-term contract: 2 year with a possible extension.
Scale 10: max € 58838 gross per year at full employment (incl. vacation bonus and end of year payments)
Radboudumc strives to be a leading developer of sustainable, innovative and affordable healthcare to improve the health and wellbeing of people and society in the Netherlands and beyond. This is the core of our mission: To have a significant impact on healthcare. To get a better picture of what this entails, check out our strategy film.
Our key strength is medical life-sciences and clinical practice, with an impressive infrastructure comprising state-of-the-art technology platforms and (translational) research facilities. The Radboudumc is therefore uniquely positioned in the emerging Euregio and Dutch healthcare infrastructure to play a leading role in the new healthcare paradigm of prediction, prevention and personalised medicine.
The Radboudumc focuses on scientific health challenges of today, with an eye on emerging diseases of the future.
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