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technologies to evaluate the effectiveness of conservation strategies and prioritize future conservation efforts. The successful candidate will work with SNRE faculty, science and conservation staff of TNC in
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quantitative models. Interprets the data and explain the results in research discussion. Implements, applies, and evaluates tools to process, integrate, and visualize high-throughput sequencing datasets Data
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effectively in an interdisciplinary team. Ability to model Argonne’s core values of impact, safety, respect, integrity, and teamwork. Interpersonal skills, oral and written communication skills, and ability
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researcher with a strong background in air–sea interactions and experimental fluid mechanics, particularly in optical flow visualization techniques. The successful candidate will conduct advanced laboratory
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. • Ability to work effectively on interdisciplinary, team-based research projects. • Experience integrating/interweaving qualitative inputs (e.g., policy, etc) with quantitative models and/or machine learning
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and validates the performance of molecular sensing circuits Designs and carries out experiments in BSL2 lab space Performs quantitative analyses and generates data-rich visualizations from data
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and development (R&D) of CADt, CADe, and CADx-type tools with strong translational potential for rapid detection/triage, injury grading, and quantitative visualization of hemorrhage burden. We
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experiments, adopt novel technologies to the sample analysis, produce and visualize data for presentation at scientific meetings and for publications • write research and review papers, and to contribute