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simulation, TEA and LCA, and have a good knowledge of current and future resource recovery and separation technologies. The successful candidate will 1) collect data pertaining to battery recycling, battery
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: The analyst will contribute directly to the development and advancement of NSSE and associated projects. This will include working collaboratively with NSSE’s Data and Reporting team to update NSSE by shaping
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of mental health risk. Assist data analyst in performing data acquisition, storage, cleaning, and pre-processing for large-scale, longitudinal studies. Lead the write-up of scientific papers to disseminate
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Classification Title: PhD in Bioinformatics, Computational Biology, Biomedical Engineering, Data Science, or a related field. Classification Minimum Requirements: PhD in Bioinformatics
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, including epigenome-wide association studies (EWAS) and causal inference methods. Assist data analyst in performing data acquisition, storage, cleaning, and pre-processing for large-scale, longitudinal
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and technologies, and in advancing data-driven risk monitoring approaches for supply chain resilience. The candidate will conduct comprehensive supply chain mapping, modeling, and analysis—integrating
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analysts, and a frequent influx of leading scientists and practitioners from around the world participating in working group projects across a diverse range of initiatives. NCEAS is also a leader in data
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analyst with strong quantitative, modeling, and problem‑solving abilities and a proven ability to communicate complex scientific methods and results to policymakers and the public. Responsibilities include
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diagnostic assessment measures and information, to develop manuscripts. • Independent Research: The fellow will be encouraged to develop research projects of interest to them that can be conducted with our
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technologies, and in advancing data-driven risk monitoring approaches for supply chain resilience. The candidate will assist with data collection, analysis, and scenario modeling for a DOE-sponsored assessment