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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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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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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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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
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Postdoctoral Research Associate I, Psychology (Genetically Informed Studies of Social Connectedness)
Abilities (KSAs) for the Ideal Postdoctoral Candidate Include: Demonstrated strengths as a data analyst, especially with complex biometric twin or bioinformatics, or molecular genetic data. Advanced knowledge
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Engineering Center (PSEC) at NREL, a highly interdisciplinary and collaborative team of engineers, analysts, and software developers. GAC works to develop and apply state-of-the-art energy system modeling
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expertise in Neuropixels or other large-scale in vivo electrophysiology techniques. An expert neural data analyst may be considered even with minimal animal experience. Required Application Materials: Cover
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Department Veterinary Population Medicine Posted Date 01/07/2026 Job Title Senior Data Analyst Job ID 371739 Location Twin Cities Department Social Rsrch & Data Innovation Posted Date 01/07/2026 Job Title CFI
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, transportation, and more, with a special emphasis on grid resilience assessments and equity analysis. You will have the opportunity to creatively use interdisciplinary methods from computational data science