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expertise in force field development, weighted ensemble rare-event sampling, and scientific software development. The researcher will be the lead developer of the WESTPA software for weighted ensemble
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Research Project“ Transforming Cardiac Research: Visual Exploration and AI Prediction Modeling of Real-Life, Multi-Modal Data” as a PhD-Position in machine learning. You will work alongside leading experts
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insights and forecast trends Develops sophisticated predictive models based on rigorous data analysis Produces detailed reports, succinct summaries, and impactful presentations elucidating research
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, that combines diffusion and transformer models, there are clear indications that the analysis of this data can be automated. This will open new avenues in data interpretation and building predictive models
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to behavior prediction and change, and an early track record of research applying related methods to implementation science. Experience in developing and applying methods in community-based research is required
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. We are seeking a Research Scientist specializing in plasma physics to join our team. In this role, you will: Develop and refine models to understand and predict the behavior of plasmas near the wall
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of multiple administrative data sets. Conduct data analysis (descriptive, bivariate, predictive, longitudinal, etc.). Write reports for funders and interested parties and prepare manuscripts and presentations
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of multiple administrative data sets. Conduct data analysis (descriptive, bivariate, predictive, longitudinal, etc.). Write reports for funders and interested parties, and prepare manuscripts and presentations
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, prognosis and therapy response prediction of cancer patients. Liquid biopsies are now offering a great potential for minimally-invasive exploration of circulating tumor nucleic acids and cells. However, some
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machine learning techniques to predict market behavior and generate alphas Execution. Create strategies to execute on modelling ideas under simulated competition Evaluation. Backtest ideas using historical