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InSilicoHealth is an innovative Doctoral Network with the ambition to train a new generation of outstanding Doctoral Candidates that will become effective translators of the rapidly evolving digital technology to tackle existing and future challenges related with healthy ageing in Europe. This exciting Doctoral Network is coordinated by iSi Health, the KU Leuven Institute of physics-based modeling for in silico health.
InSilicoHealth specifically focuses on virtual human twin technology to enhance our understanding of the age-related adaptive changes of the complex human body through predictive multi-scale simulations. The research focus lies in three key domains: the brain, heart, and musculoskeletal systems.
InSilicoHealth proposes a compelling interdisciplinary joint degree-Doctoral Network programme for 11 Doctoral
Candidates (DCs), with intersectoral training components. The programme explicitly encourages the DCs to surpass the current often technology-driven focus, by explicitly addressing the ethical, legal societal implications of virtual human twin technologies. Through effective communication training, the DCs will be prepared to actively contribute to leveraging societal acceptance and clinical adoption of in silico health solutions through engaging interaction with industrial, clinical, and policy-oriented actors, as well as the wider public.
Find more about the 11 PhD positions by visiting the recruitment page: https://insilicohealthproject.eu/recruitment/ .
InSilicoHealth specifically focuses on virtual human twin technology to enhance our understanding of the age-related adaptive changes of the complex human body through predictive multi-scale simulations. The research focus lies in three key domains: the brain, heart, and musculoskeletal systems.
InSilicoHealth proposes a compelling interdisciplinary joint degree-Doctoral Network programme for 11 Doctoral
Candidates (DCs), with intersectoral training components. The programme explicitly encourages the DCs to surpass the current often technology-driven focus, by explicitly addressing the ethical, legal societal implications of virtual human twin technologies. Through effective communication training, the DCs will be prepared to actively contribute to leveraging societal acceptance and clinical adoption of in silico health solutions through engaging interaction with industrial, clinical, and policy-oriented actors, as well as the wider public.
Find more about the 11 PhD positions by visiting the recruitment page: https://insilicohealthproject.eu/recruitment/ .