Postdoctoral to work on research into the use of predictive artificial intelligence models in the prevention of chronic non-communicable diseases
Belo Horizonte - MG
Temporário
Período integral
Há 18 dias
Offer DescriptionWe are looking for a postdoctoral fellow to work on research into the use of predictive artificial intelligence models in the prevention of chronic non-communicable diseases.The postdoctoral fellow will work within the scope of the Center for Innovation in Artificial Intelligence for Health (CIIA-Saúde) based at UFMG.The postdoctoral fellowship will be for 15 months.Mandatory requirements: 1) doctorate in the health field with an emphasis on epidemiology and public health for less than 7 years; 2) master's and undergraduate degrees in the health field; 3) experience proven by quality publications in nationwide health surveys, health information systems, global burden of disease and mortality, complex data analysis, multilevel analysis, analysis of small and artificial areas.To register, interested parties must send curriculum by email by 04/30/2024. The selection process will be based on curriculum analysis and subsequent interview.This opportunity is open to candidates of any nationality but resident in Brazil. The selected candidate will receive a FAPESP Post-Doctoral Scholarship worth R$9,047.40 per month. The approval of the scholarship is subject to the approval of the candidate selected by FAPESP..RequirementsResearch Field Medical sciences » Epidemiology Education Level PhD or equivalentSkills/QualificationsMandatory requirements: 1) doctorate in the health field with an emphasis on epidemiology and public health for less than 7 years; 2) master's and undergraduate degrees in the health field; 3) experience proven by quality publications in nationwide health surveys, health information systems, global burden of disease and mortality, complex data analysis, multilevel analysis, analysis of small and artificial areas.Languages ENGLISH Level GoodLanguages PORTUGUESE Level ExcellentAdditional InformationWork Location(s)Number of offers available 1 Company/Institute UFMG Country Brazil GeofieldWhere to apply E-mailiaufmgprev@gmail.comContact State/ProvinceMinas Gerais CityBelo Horizonte WebsiteStreetAv. Prof. Alfredo Balena, 190 Postal Code30130100STATUS: EXPIRED