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datasets, including mass-spectrometry and DNA-sequencing datasets. Proficiency in Python or another general-purpose programming language and experience with high-performance computing. Publications in peer
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scientific research, utilizing advanced skills and knowledge to execute the following tasks: plan field and laboratory experiments based on the season and phenology, run established research protocols, and
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the following tasks: plan field and laboratory experiments based on the season and phenology, run established research protocols, and modify and develop new procedures to achieve research goals. Moreover
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Organization U.S. Department of Energy (DOE) Reference Code 2026-NNSA-MSIIP How to Apply Click on Apply below to start your application. Application Deadline 10/26/2025 11:59:00 PM Eastern Time Zone
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. Strong programming skills. Familiarity with popular Deep Learning platforms such as PyTorch and TensorFlow. Preferred Qualifications: Expertise in vision transformer or large language model. Expertise in
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will possess: A strong background in scientific programing Interest in developing open-source data analysis and modeling tools in one of the following languages: Python, Julia, or C . A strong interest
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. Application Deadline 7/29/2025 11:59:00 PM Eastern Time Zone Description The U.S. Department of Energy (DOE) Science, Technology and Policy Program (DOE-STP) is designed to provide opportunities for students
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at technical conferences. Excellent communication skills including verbal, presentation, and writing skills are required to enable effective interaction with technical peers and program managers. Preferred
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, and industrial energy efficiency analysis research under the Strategic Analysis and Industrial Energy Efficiency Programs. The MEERA Group conducts techno-economic, value chain, trade, patent, and
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engineering. · Proficient in programming languages, including Python, R, Julia, etc. · Proficient in database management systems, i.e., MySQL or Microsoft SQL Server. · Proficient in traffic