Cleveland Clinic, in collaboration with UNESCO, is launching an initiative to support young researchers and scientists in transforming scientific ideas in healthcare and life sciences into quantum use cases. The programme that is part of the UNESCO’s Remote Access to Lab Equipment (UNESRALE) Initiative and the International Year of Quantum Science and Technology is designed to educate researchers in quantum computing through online quantum computing education resources and access to quantum hardware to test problem sets, with a focus on utilizing Quantum Computing in research-specific projects.
The training will focus on Education in Quantum Computing. The educational component aims to introduce participants to learning how to use the Qiskit framework, a Python-based toolkit for building quantum algorithms and programmes, which can be executed on real quantum hardware. The learning pathways encompass foundational and advanced topics, including 1) getting started with Qiskit, 2) understanding quantum information and computation, 3) exploring the scalability of quantum computing toward utility, and 4) applying quantum computing to data science through algorithms and quantum machine learning. In addition to the theoretical training, participants will receive access to the IBM Quantum System One located at Cleveland Clinic, providing hands-on experience with a leading quantum computing system.
The programme targets research areas where quantum computing can significantly advance healthcare and life sciences. These areas include 1) molecular discovery and simulation, 2) protein folding, 3) clinical trial optimization, 4) multi-omics analysis, 5) drug manufacturing optimization, and 6) medical imaging and diagnostics. The expected outcomes of the programme include enhanced capacities of early-career researchers in quantum research through education, as well as improved scientific output through access to quantum hardware.
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 submitting applications: 31.01.2026
For inquiries, please contact lab-remote.access@unesco.org and .
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