[05/01/2026]
In alignment with the International Year of Quantum Science and Techology, UNESCO Recommendation on Open Science and UNESCO's Remote Acess to Lab Equipment (UNESRALE) Initiative, the Cleveland Clinic in collaboration with UNESCO are launching a call for remote access to quantum computing for healthcare and life sciences.
The programme aims to train researchers in quantum computing through online learning resources and access to quantum hardware to test problem sets, with a focus on utilizing quantum computing in research-specific projects.
The training program teaches participants how to use Qiskit to develop and run quantum algorithms on real IBM quantum hardware. It covers both beginner and advanced topics, from basic Qiskit use and quantum information to quantum scalability and applications in data science and quantum machine learning. Participants also gain remote access to the IBM Quantum System One at Cleveland Clinic.
The programme is geared toward healthcare and life-science research, focusing on areas where quantum computing can make major contributions, including molecular discovery, protein folding, clinical trial optimization, multi-omics, drug manufacturing, and medical imaging/diagnostics.
More information:
Link for application:
https://unesco-2023.limesurvey.net/614229?lang=en
Eligibility:
The programme is open to young researchers, including PhD candidates, postdoctoral fellows, and junior faculty members having completed their PhD within eight years, as well as young researchers up to 40 years old. Applicants should be working in the fields of healthcare and life sciences (HCLS), or collaborating with researchers in these areas, and must demonstrate a clear motivation to explore the use of quantum computing in HCLS research. Eligible applicants must demonstrate strong proficiency in English and have a solid foundation in the basic sciences (physics, chemistry, and biology). They are also expected to present a well-defined research project or innovative idea, along with demonstrated proficiency in Python programming.
Deadline for applications:
31 January 2026.