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, including techno-economic and life-cycle assessment, to guide designs toward scalable, low-carbon fuel pathways Characterize materials and analyze performance data to establish structure–performance and
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chemical genomics data Familiar with use of high performance computing facilities Ability to communicate with experimental chemists and biologists Ability to develop research plans for executing strategy
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University of New Hampshire – Main Campus | New Boston, New Hampshire | United States | about 2 months ago
results and troubleshoot technical challenges to advance research objectives. Data Analysis, Interpretation, and Dissemination (20%) Analyze and interpret experimental data using appropriate computational
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and technologies. Knowledge of AI/ML is important, but the focus will be on the high-fidelity simulation environments, software networking bridges, and physical data collection architectures
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. The research focus is on developing and applying first-principles-based and data-driven computational methods to understand multiscale processes and accelerate chemical discoveries for renewable energy
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to tackle research that incorporates Engineering Mechanics, Structural Engineering, AI and Data Science. The candidate will assist the DISCOVER lab with managing existing research projects and preparing
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experimental data in support of the project's scientific and technological goals. Read and review literature relevant to the project scope. Communicate results in laboratory group meetings, scientific
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machine learning techniques to raw ultrasound data. The project involves developing novel algorithms that integrate physics, engineering, and AI to extract meaningful and clinically relevant information
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Classification Title: Postdoctoral Associate Classification Minimum Requirements: PhD in statistics, data science, business analytics, sports analytics, operations research, computer science, or a
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will focus on the utilization of chemical and biological tools to interrogate bacterial communications both within and between bacterial species. Information about the lab can be found at https