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apply cutting-edge machine learning algorithms, with focus on foundation models and LLMs/agents, to analyze complex biological data. This data includes gsingle cell genomics profiles, spatial data, and
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communication skills. Experience in coding with Python, MATLAB, Julia, C/C++, or a similar program language. Experience with biological data analysis. Knowledge of network science and/or complexity sciences
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. Experience in coding with Python, MATLAB, Julia, C/C++, or a similar program language. Experience with biological data analysis or simulations of dynamics. Knowledge of network science and/or complexity
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biological data analysis. Knowledge of network science and/or complexity sciences. Michigan Medicine conducts background screening and pre-employment drug testing on job candidates upon acceptance of a
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models, frameworks, and methods to confront complexity underlying persistent societal challenges affecting the well-being of people and the planet. This position represents a unique opportunity to
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a plus. Be technically rigorous, curious and creative. Show enthusiasm in tackling complex biological problems and developing/applying new technologies. Have advanced at least one key research project
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/) at Georgetown University Medical Center is seeking a highly motivated Postdoctoral Research Fellow to investigate the complex interplay between metabolite-protein interactions in aging and age-related
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analogous processes in more complex human cellular systems. The research aims to establish mechanistic understanding of molecular networks that maintain homeostasis under stress conditions. Through rigorous
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as a model organism complemented by in vitro biochemical systems. The insights gained from this well-controlled model will provide a foundation for understanding analogous processes in more complex
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, state, and academic units, providing valuable networking opportunities for career advancement. Salary is targeted to be competitive with rates from a recent national survey of postdoctoral fellowships in