Models and tools based on Data Mining and AI techniques for the fall risk evaluation in elderly people, on the basis of statistical, epidemiological, contextual and expert-based knowledge
Please note that the job is no longer active!
The research activity aims to analyze data mining and artificial
intelligence techniques for the evaluation of the fall risk, on the
basis of different knowledge types: statistical information,
epidemiological data, and contextual knowledge. These information will be
further integrated with medical knowledge provided by domain experts.
Presumably, the experts' knowledge will be in the form of rules. Hence,
a goal of this research activity will be about integrating different
information and knowledge types, within a single framework. Aims and
goals of the FARSEEING project will contribute in the identification of
research directions. Moreover, it is expected an intense collaboration
activity with academic and industrial partners of FARSEEING.
Please note that the full description may be available in the national language since some job boards have their own publication policy. Thank you for your understanding!
Computer science - Modelling tools
Engineering - Knowledge engineering
to apply for research grants fill out the form available at the following address: https://www.aric.unibo.it/AssegniRicerca/BandiPubblicati/zz_Bandi_din.aspx
|Eligible destination country/ies for fellows||Italy|
|Eligibility of fellows: country/ies of residence||All|
|Eligibility of fellows: nationality/ies||All|
|Website of Fellowship Programme||https://www.aric.unibo.it/AssegniRicerca/BandiPubblicati/zz_Bandi_din.aspx|
|Career Stage||Early stage researcher or 0-4 yrs (Post graduate)|
|Research Profile||Not defined|
To better plan and organise their stay in a foreign European country, researchers and their families can also benefit of the free and personalised assistance offered by the EURAXESS Services Centres, a network of more than 200 centres located in 40 different European countries.