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groups led primarily by Professor Tarek Abdoun and Professor Mostafa Mobasher. It involves a diverse range of activities including: structural and geotechnical modeling, machine-learning model development
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design and causal inference (including virtual lab experiments); and/or (4) network or computational modeling. The ideal candidate will have a strong interest in applying these tools to questions of group
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groups led primarily by Professor Tarek Abdoun and Professor Mostafa Mobasher. It involves a diverse range of activities including: structural and geotechnical modeling, machine-learning model development
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biomedical and mechanical engineers, biologists, and pharmacists. Expectations Candidates will be responsible for working with a unique transgenic mouse model that enables specific cardiomyocyte reprogramming
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GROMACS, AMBER, MARTINI, OpenMM, or similar tools ii) Experience with machine learning or AI experience (e.g., PyTorch, JAX) for RNA modeling and/or drug discovery iii) Experience in coding and scripting
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mesoscale fractal geometry, creating physics-informed neural network models to analyze turbulent structures, and comparing simulation results to astronomical observations to develop methods for inferring
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, adult education, or related disciplines. Knowledge of project management methodologies, strong quantitative modeling skills and the ability to work on multiple projects simultaneously. Ability to write
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program development, design, and evaluation and the larger impact of Reimagine Freedom across California, with a focus on how their model advances liberation and transformatino among systems-impacted girls
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disease, as well as in the integration of bioengineering and quantitative technologies are particularly welcome. The candidate will contribute to the development of stem cell-based models of human
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. Interested applicants are expected to lead the experimental efforts, though they are also welcome to get involved with modeling aspects of these projects. Typically, projects involve the design and synthesis