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to emerging or re-emerging diseases. Proficiency in programming languages such as Python, R, SQL, or similar tools for data analysis and model development. Experience in working with large and complex datasets
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, including participant recruitment and data collection. Support data analysis (experience analyzing longitudinal data preferred) and co-author peer-reviewed manuscripts. Contribute to grant development and
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with sensor system integration • Familiarity with experimental data analysis and custom device fabrication for materials characterization. • Ability to work effectively in interdisciplinary
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, 7nAChR, 9* nAChR, GIRK1/2, GIRK1/4, etc.) Conducting biochemical and ADME/PK studies and data analysis Generating SAR hypotheses Performing empirical and structure-based target design Executing synthetic
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biochemical and ADME/PK studies and data analysis Generating SAR hypotheses Performing empirical and structure-based target design Executing synthetic chemistry and troubleshooting Improving the potency
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their own vehicle and find their own housing for the duration of the position. QUALIFICATIONS Knowledge of computer programming language(s) for data analysis and visualization Knowledge of spreadsheet
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The postdoctoral fellow will contribute to ongoing research projects exploring genetic interactions that influence lifespan, assist in experimental design, data analysis, and publication of findings. Additional
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and ML pipelines for drug synergy, write code for data analysis and post-processing data. Training of models like CNN, RNN, Transformers with some work in classical machine learning with XGBDTs is
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/field), lead data analysis, and write papers. They will have the opportunity to work on a combination of their own research and collaborative projects with their faculty adviser. MINIMUM QUALIFICATIONS
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implement independent research projects. Strong skills in data analysis, visualization, and scientific writing are required. These skills are normally acquired through a Ph.D. in Physics, Network Science