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, statistical mechanics and enhanced sampling, and machine learning for chemistry and materials science. For more information about the research agenda of ICC, see: https://www.simonsfoundation.org/flatiron
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across different genomic regions by developing interpretable and efficient methods in comparative pangenomics, leveraging machine learning methods, statistical analysis and efficient algorithm and
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comparative pangenomics, leveraging machine learning methods, statistical analysis and efficient algorithm and data structures ( https://CGRlab.github.io/research/ ). About the research project We are open
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optimization Experience with large-scale algorithm design and implementation Knowledge of decision making under uncertainty Ideally, some exposure to machine learning methods A passion for research
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) Diagnostic development Computational solid and fluid dynamics Chemical physics Nuclear physics Particle and radiation transport algorithm development Artificial intelligence and uncertainty
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application process. You will also have the opportunity to ask questions. Attendance is optional but strongly encouraged. Date: Wednesday 22 July 2026 Time: 19.00-20.00 CEST https://uio.zoom.us/j