University of Oslo

Post-doc

Postdoctoral Research Fellow in Machine Learning and Artificial Intelligence in Epidemiology

접수중2026.06.26~2026.08.16

채용 정보

  • 접수 기간

    2026.06.26 00:00~2026.08.16 23:00

  • 접수 방법

    홈페이지지원더보기

  • 채용 구분

    경력 무관

  • 고용 형태

    계약직

  • 지원 자격

    박사

  • 모집 전공

    의약계열, 제어계측공학, 정보・통신공학, 전자공학, 전산학・컴퓨터공학, 전기공학, 의공학, 응용소프트웨어공학, 광학공학, 통계학, 수학, 물리・과학더보기

  • 기관 유형

    대학교

  • 근무 지역

    해외(노르웨이)더보기

The position is linked to the project LINDA-FAMILIA – Implementation of an Integrated Digital Health System for Infectious Diseases in Maternal and Child Health in East Africa, a Horizon Europe/Global Health EDCTP3 project.

The postdoctoral fellow will contribute to a work package on clinical research co-led by the University of Oslo and the Uganda National Institute of Public Health.

Up to 10% of the position will be devoted to career-promoting work, primarily teaching and supervision in machine learning and artificial intelligence for master students in epidemiology.


About the project:

LINDA-FAMILIA will do research within digital eRegistries for reproductive, maternal, newborn and child health services in four regions in East Africa: Addis Ababa Region, Ethiopia; Eastern Province, Rwanda; Kilimanjaro Region, Tanzania; and Lango sub-Region, Uganda.

The eRegistries are deployed to replace paper-based health information systems and support clinical care, disease surveillance and research through harmonized longitudinal individual-level data across the four countries. The systems include clinical decision support, referral coordination, targeted client communication, data management and interoperability.

For more information and how to apply: https://www.jobbnorge.no/en/available-jobs/job/303695/postdoctoral-research-fellow-in-machine-learning-and-artificial-intelligence-in-epidemiology

근무 예정지

대표해외(노르웨이) : Norway, Institute of Health and Society

기관 정보

University of Oslo

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  • 기관유형

    대학교(해외)

  • 대표전화

    +47 22 85 50 50

  • 대표주소

    Problemveien 11, 0313 Oslo

  • 홈페이지

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관련 키워드

Medical sciencesHealth sciencesEpidemiologyComputer scienceDigital systemsMathematics
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