The Infectious Diseases Institute (IDI) is a Ugandan not-for-profit organization whose mission is to strengthen health systems in Africa, with strong emphasis on infectious diseases, through research and capacity development. IDI has six operational areas through which it works to achieve its mission: Prevention, Care and Treatment; Training, Research, Laboratory services (including the CAP-certified IDI Core Lab & Translational Lab), Global Health Security and Health System Strengthening.
Students intending to pursue their internships with IDI and volunteers should submit their applications through this HR online application Portal.
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We are hiring a VR Developer with expertise in Unity, API integration, and backend development to build an interactive protein visualization tool. The ideal candidate will work on integrating AlphaFold 3 API, handling PDB data, and optimizing real-time 3D visualization in VR. This role requires strong problem-solving skills and a passion for blending technology with scientific research.
We are hiring a 3D UI/UX Designer to craft intuitive and visually compelling interfaces for our VR protein visualization tool. In this role, the designer will collaborate closely with VR developers to design interactive elements, optimize user workflows, and ensure a seamless VR experience. The designs will play a key role in making complex scientific data engaging and accessible within a virtual environment.
The Locum Study Midwife will support implementation of the Maternal Ultrasound Observational Study for Machine Learning Model Training study (AI US Scan study) being implemented at Kawempe National Referral Hospital. She will work together with the study team at the hospital to screen, obtain informed consent, enrol participants and conduct study procedures, in order to meet the study recruitment targets. The Locum Study midwife will ensure high level confidentiality and adherence to international and national GCP guidelines whilst providing care to the study participants.
The Locum Study Midwife will support implementation of the Maternal Ultrasound Observational Study for Machine Learning Model Training study (AI US Scan study) being implemented at Kawempe National Referral Hospital. She will work together with the study team at the hospital to screen, obtain informed consent, enrol participants and conduct study procedures, in order to meet the study recruitment targets. The Locum Study midwife will ensure high level confidentiality and adherence to international and national GCP guidelines whilst providing care to the study participants.