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Fellowship & Grant details

Fellowship posted by Italian Ministry of Education, University and Research (14/11/2012 03.37)

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Please note that the job is no longer active!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!

Research Fields

Computer science - Modelling tools
Engineering - Knowledge engineering

Eligibility criteria

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


Programme Description
Eligible destination country/ies for fellowsItaly
Eligibility of fellows: country/ies of residenceAll
Eligibility of fellows: nationality/iesAll
Website of Fellowship Programmehttps://www.aric.unibo.it/AssegniRicerca/BandiPubblicati/zz_Bandi_din.aspx
Fellowship's Details
Career StageEarly stage researcher or 0-4 yrs (Post graduate)
Research ProfileNot defined
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Application deadline

05/03/2013

Other fellowship details
Fellowship ID

42216

EU Research Framework Programme

FP7/Other

Funding organisation / Contacts
ALMA MATER STUDIORUM - UNIVERSITA' DI BOLOGNA - - DIPARTIMENTO DI INGEGNERIA DELL'ENERGIA ELETTRICA E DELL'INFORMAZIONE - " GUGLIELMO MARCONI"

Public research
Bologna - Italy
www.unibo.it
E-mails
prova@prova.it

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