149 molecular-modeling-or-molecular-dynamic-simulation PhD positions in United States
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to therapies and vaccines against human diseases. We are a team of highly interactive investigators that have expertise in immunology, molecular biology, virology, microbiology, structural biology, computational
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, which has seen little improvement in patient survival over the past decades. Utilizing genetically engineered mouse and human glioma models, our lab investigates how glioma cells interact with the tumor
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available to conduct research on chronic pain. Using animal pain models, behavioral tests, calcium imaging, patch-clamp, optogenetics, neuroanatomy, molecular biology, the successful candidate is expected
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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
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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
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, statistical analysis, and machine learning techniques to predict market behavior and generate alphas Execution. Create strategies to execute on modelling ideas under simulated competition Evaluation. Backtest
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, statistical analysis, and machine learning techniques to predict market behavior and generate alphas Execution. Create strategies to execute on modelling ideas under simulated competition Evaluation. Backtest
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to the Principal Investigator, the Research Assistant will conduct part-time basic and translational research working on projects related to understanding the cellular and molecular basis of interneuron function and
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. in microbiology, immunology, systems biology, molecular biology, computational biology, or a related field. • Experience in one or more of the following areas: microbiome research, animal models
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/discovery; © dynamical systems and/ortime series data modeling. Preference will be given to applicants with prior experience applying these methods on scientific problems, whether biomedical or not. A strong