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Field
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the laboratory's past and ongoing work within the context of AI-guided Design, Inverse Design, and Optimization across different application domains. In particular, we are developing scientific research
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the development and optimization of advanced microbiome experimental workflows such as DNA/RNA extraction from complex biological samples, library preparation for next-generation sequencing, and high-throughput
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Department Name RADIATION ONCOLOGY Location Code RADIATION ONCOLOGY (06720A) Is this split and/or fully grant funded? Yes Duties and Responsibilities Dosimetry techniques optimization: Accurate dose
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machine learning-based systems to integrate more renewable energy into our energy systems and make energy use more efficient. We develop new optimization methods, machine learning algorithms, and
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packaging applications. Responsibilities: Investigate the mechanisms of plasma–tissue, plasma–biomaterial, and plasma–food packaging interactions. Develop and optimize cold plasma treatments to enhance
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. The postdoctoral fellow will lead a project focused on developing optimized strategies for observing, processing, and archiving the datasets from current and future large astronomical facilities, with emphasis
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are gaining significant interest for sustainable seawater desalination. This postdoctoral position is part of a research project aiming to design, optimize, and evaluate electrochemical systems [electrodialysis
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-state batteries. Perform materials synthesis, characterization, and device fabrication process Interpret test data to enhance device performance Optimize device design based on test results and
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University of New Hampshire – Main Campus | New Boston, New Hampshire | United States | 2 months ago
and papers supporting the scientific case for polarized deuterons. Contribute to the design, simulation, and performance optimization of the BHCal for the EIC. Participate in the assembly, calibration
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on projects related to AI-based dental prostheses design and materials optimization algorithm development, under the supervision of Professor James Tsoi. No biology, biomaterials or patient contact will be