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nanofabrication: Develop and optimize processes for fabricating single-crystal diamond nanostructures, including waveguides, cavities, optomechanical resonators, nanopillars, and related devices. • Device design
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Optimization and the Institute for Quantum Computing, both at the University of Waterloo in Ontario, Canada. You will also work closely with Canada’s National Research Council. The Institute for Quantum
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2026, we will start a 3-year NSF-Research Council of Finland collaborative project “FORMULA3: Framework for Optimal Resource Management Using Generalizable AI in FR3 Dynamic Programmable Wireless
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injury, and repair in experimental models of multiple sclerosis. Designing, implementing, troubleshooting, and optimizing experimental approaches. Developing and executing studies utilizing transgenic
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these systems in both classical and quantum regimes, we aim to develop new methods for solving complex optimization problems and advancing machine learning architectures. The research involves investigating how
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to optimize cellular performance. The Fellow will develop an independent research project aligned with the broader goals of the collaboration and will have opportunities to lead publications, make scientific
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with experimental and clinical teams to interpret results and translate findings into actionable insights. Design and optimize predictive models of drug response, including the use of digital twin
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and apply advanced methods in automated treatment planning, artificial intelligence, adaptive treatment delivery, and clinical workflow optimization to improve both the quality and efficiency
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, e.g. in Python, particularly for machine learning Experience with machine learning theory, evaluation metrics, algorithmic fairness, statistics, or optimization is an advantage Language requirement
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using languages such as Python, R, and Bash. · Experience developing, implementing, and optimizing computational pipelines and bioinformatics tools for large-scale genomic datasets. · Strong