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Field
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in automated extraction, analysis and standardization of multimodal biological, biochemical and medical experimental data Experience with parameter optimization and ODE-based modeling Strong
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applications of stochastic and (distributionally) robust optimization (SRO) and foster interdisciplinary research collaborations to address emerging real-world problems in various application domains, including
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twins are leveraged to develop paradigm shifts in quality assurance, quality control, real-time process control, and design optimization for the United States. In this digital environment, you will use
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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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University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | about 2 months ago
professionalism, enhance learning, and create personal and professional sustainability. We optimize our partnership with the UNC Health System through close collaboration and commitment to service. Position Summary
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methods (e.g., fluorescence, reflectance, or label-free modalities). Collaborate on development and optimization of imaging instrumentation and workflows. Perform tissue preparation, imaging, and data
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. Analyzing the theoretical guarantees of these frameworks using tools from optimization, machine learning, and control theory. Developing simulation environments to test and benchmark the developed control
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Responsibilities: · Design and conduct independent research projects in placental biology or in utero gene editing. · Develop and optimize CRISPR-Cas9 base editing strategies, including plasmid and
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for the fundamental understanding and engineering design of safe autonomy for autonomous vehicles. The post-doctoral researcher should have a strong background in autonomous vehicles, optimal control, differential
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, Synopsys/Ansys, Siemens). Willingness to work on cross-stack optimizations and learn new skills. Preferred Qualifications Experience with multi-physics simulations for thermal, mechanical, and reliability