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be to develop high fidelity simulations and/or algorithms to enable Bragg coherent diDraction imaging. We expect x-ray ptychography and coded aperture methods to play a fundamental role in creating a
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the performance and scalability of large-scale molecular dynamics simulations (e.g. LAMMPS) using machine-learned potentials (e.g. MACE) through algorithmic improvements, code parallelization, performance analysis
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superb quantitative background, strong coding skills (e.g., Python, R), expertise in infectious disease modeling across multiple pathogens, expertise with large datasets and statistical analysis, and high
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with electronic health record (EHR) and/or clinical data. Proficiency in Python, with strong coding and debugging skills. Experience with deep learning frameworks such as PyTorch, JAX, TensorFlow
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, robust, and reproducible data analysis. Conventional statistical approaches will be combined with innovations in interpretable machine learning to address each aim from multiple angles. Analysis code will
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; etc. • Data management: Ability to clean, code and store information to increase anonymity and confidentiality • Data analysis: this position will have a primary focus on qualitative data, such as
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are changes in gene expression that do not involve alterations to the DNA sequence. This could involve studying DNA methylation, histone modification, chromatin remodeling, and non-coding RNAs. Experimental
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employer, including veterans and disability. As required by Ohio Revised Code section 3345.0216, Ohio State will: educate students by means of free, open and rigorous intellectual inquiry to seek the truth
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employer, including veterans and disability. As required by Ohio Revised Code section 3345.0216, Ohio State will: educate students by means of free, open and rigorous intellectual inquiry to seek the truth
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Organization U.S. Department of Energy (DOE) Reference Code DOE-OREM-ESPSE-24 How to Apply A complete application consists of: An application Transcripts A current resume including academic history