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ongoing trials on pain pathways, collects and analyzes neurophysiologic and biomechanical data, maintains regulatory compliance, and contributes to a research direction on personalization and optimization
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animal experiments, etc. • Perform data collection and analysis • Test, optimize, troubleshoot new and existing methods and techniques, and update protocols • Prepare and maintain biological stocks
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artificial intelligence (AI) methods that propose, prioritize, and interpret experiments, accelerating the discovery and optimization of catalytic materials for energy and sustainability applications
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-deposited oxide films, and covalent or electrostatic functionalization (30%); 3. Build and optimize experimental hardware, including optical excitation and collection paths, microwave and RF delivery (30%); 4
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. Responsibilities and Essential Duties 1. Design and conduct laboratory- and pilot-scale experiments in hydrometallurgical operation. 2. Develop and optimize unit operations such as physical separation, leaching
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, genomics, wearable data, and unstructured clinical text). Design, implement, validate, and optimize computational methods and analytical pipelines to address clinically relevant research questions. Develop
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techniques such as cloning, PCR, mutagenesis, DNA extraction, gel electrophoresis 4. Knowledge of protein/antibody discovery and optimization using in vitro display (such as phage or yeast) technology 5
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University of New Hampshire – Main Campus | New Boston, New Hampshire | United States | about 2 months ago
Design and Research Execution (60%) Design, perform, and optimize experiments investigating chromatin remodeling, transcriptional regulation, and gene expression. Utilize model organisms, including
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or proteins. More details can be found: https://yanjun-li.com.html . Additional duties of the role will include, but are not limited to: Leading the development and optimization of the AI and/or computational
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data, player and team evaluation metrics, win probability and decision models, scheduling/optimization, or injury and workload models. Experience with modern data engineering and analytics tools (e.g