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Bolsa de Investigação para Mestre | CIBIO-InBIO

Applications are invited for a Postdoctoral Fellowship (Reference ICETA 2017-04) in the context of the project “Modelling and inference for population and ecosystem health” (IF/01346/2014), funded by FCT/MCTES (PIDDAC) and co-funded by FEDER through COMPETE (POFC), in ICETA.

EVENTO:

  De 16 de fevereiro a 02 de março de 2017

  Bolsas - Fora da UBI

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Partilha

Research field: Mathematical and statistical epidemiology.

Eligibility: Candidates must hold PhD or equivalent qualification and research experience in mathematical or statistical modelling of natural systems.

Work plan: Develop novel mathematical models for tuberculosis transmission. Shortening the gap between statistical epidemiology and mathematical epidemiology, the new models will accommodate inter-individual heterogeneity (observed and unobserved) and cohort selection for improved accuracy and predictability. These models will be informed by surveillance data and tested against monitored clinical trials and interventions. The post will involve developing innovative ways to analyse data and parameterize models, working closely with clinicians, and attending meetings to discuss research findings.

Work place: The candidate will be affiliated to CIBIO-InBIO (Centro de Investigação em Biodiversidade e Recursos Genéticos) do ICETA (Instituto de Ciências, Tecnologias e Agro-Ambiente), and will spend periods at the Liverpool School of Tropical Medicine, United Kingdom, under joint supervision of Profs Gabriela Gomes, Rita Gaio and Raquel Duarte. There will be opportunity for interaction with the world renowned Liverpool Tuberculosis research community (LIV-TB), and collaboration with the World Health Organization (WHO).

Duration of fellowship: The fellowship will have the duration of 6 months, starting on April 01, 2017.

Application period and documents: The call will be open from 16/02/2017 to 02/03/2017. Applications must include the documents mentioned in the call for proposals, sent to: bolsas.cibio@cibio.up.pt

 

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Data da última atualização: 2017-02-08
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