At Cleveland Clinic Health System, we believe in a better future for healthcare. And each of us is responsible for honoring our commitment to excellence, pushing the boundaries and transforming the patient experience, every day. We all have the power to help, heal and change lives — beginning with our own. That’s the power of the Cleveland Clinic Health System team, and The Power of Every One. Highly motivated individuals with a PhD or MD/PhD in relevant area are encouraged to apply. This training position, under the direct supervision of a Cleveland Clinic Principal Investigator will provide practical training and experience in a research setting. This position is appointed through Cleveland Clinic Research. The successful applicant will be able to demonstrate a commitment to research, a collaborative work ethic and strong communication skills, both written and verbal. This program is expected to be completed within 5 years. The Cleveland Clinic Center for Computational Life Sciences (CCLS) invites applications for multiple Postdoctoral Fellowships in its Collaborative Quantum Computing Research Program. These positions offer the opportunity to advance cutting-edge research at the intersection of quantum information science, biomedical research, and healthcare. Postdoctoral fellows will have access to the first private sector quantum computer dedicated to healthcare and life sciences, an on-premises IBM Heron Quantum System (156 Qubit), located on Cleveland Clinic’s main campus. Postdoctoral fellows will support multiple projects led by Principal Investigators from across the Cleveland Clinic and contribute to the Center’s overarching mission of exploring and demonstrating quantum advantage for high-impact biomedical challenges. Principal Investigator: Lara Jehi, MD, Carl Saab, PhD, Daniel Blankenberg, PhD Cleveland Clinic Research Department: Computational Life Sciences Example Research Areas Selected fellows may contribute to projects including, but not limited to: Biomechanical simulation datasets: applying quantum-enhanced simulation techniques to model physiological processes and analyze patient-specific imaging data. Biomedical dataset triage: developing quantum machine learning frameworks to identify which biomedical datasets are best suited for quantum advantage. Molecular and protein structure modeling: leveraging hybrid quantum-classical algorithms for molecular simulations and protein folding challenges. Physiological signal analysis: applying quantum machine learning and wavelet methods to enhance the analysis of cardiac and other time-series biosignals. Neuroscience signal forecasting: developing quantum approaches for predicting neural activity patterns from EEG or related datasets to support brain-computer interface research and test fundamental scientific hypotheses. Lab Research Topics: Quantum computing Quantum information science Biomedical data analysis Quantum algorithms Hybrid quantum-classical methods For more information about the lab’s research, please visit: https://my.clevelandclinic.org/research/computational-life-sciences/discovery-accelerator.
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Job Type
Full-time
Career Level
Entry Level
Education Level
Ph.D. or professional degree
Number of Employees
5,001-10,000 employees