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motivated individuals to join our dynamic team as Postdoctoral Associates. Scope of Work: • Lead the design and synthesis of novel chemical entities. • Optimize reaction conditions and processes
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simulations and multiscale spatial-omics data. • Integrate uncertainty quantification into scientific machine learning workflows and optimize the design of computational (ABM) and wet-lab experiments
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. Perform sensitivity analysis, parameter estimation, and uncertainty quantification utilizing multiscale experimental data. Collaborate closely with experimentalists to iteratively refine models and optimize
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uncertainty quantification into scientific machine learning workflows and optimize the design of computational (ABM) and wet-lab experiments. • Collaborate with mathematical modelers and experimentalists in
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of the mass spectrometry-based proteomic data generated in our chemoproteomics experiments. The postdoctoral associate will be responsible for developing and optimizing custom data analysis and visualization
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with physicians to analyze patient scan data and optimize MR techniques to meet evolving clinical needs. 4. Managing technical implementation, optimizing scan protocols, and ensuring timely delivery and
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Bioinformatics expertise required for scRNAseq analysis. · Previous cell culture experience. · Perform molecular, cellular, biochemical and immunological analyses. · Optimize and troubleshoot experimental
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-performance computing. Additional experience in DNA biophysics, machine learning, and optimization is preferred. This job description intends to provide a representative and level of the types of duties and
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. Building on this work, we seek to harness the power of this new tool to optimize its therapeutic use for a wide variety of conditions including epilepsy, neuropsychiatric disease, movement disorders, chronic
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theory, multi-objective optimization and machine learning. The specific project aims to understand the multiscale interactions shaping human gut bacteria and human gut pathogens. The project will combine