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, SuperPro Designer) and techno-economic analysis of biofuels, bioproducts, and biomaterials. Demonstrated ability to work effectively in a multidisciplinary environment. Strong publication record in peer
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Time Zone Description The U.S. Department of Energy (DOE) Office of Critical Minerals and Energy Innovation (CMEI) Science, Technology, and Policy Program (STP) Fellowship offers an opportunity
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. The successful candidate will work as part of the life cycle infrastructure asset planning, management, and policy optimization team for improved sustainability and resilience. We aim to develop mathematical and
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National Energy Technology Laboratory (NETL) | Pittsburgh, Pennsylvania | United States | about 23 hours ago
Organization National Energy Technology Laboratory (NETL) Reference Code NETL-Postdoc-2026-Goodman How to Apply A complete application consists of: An application, including academic history, work
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U.S. Department of Energy (DOE) | Washington, District of Columbia | United States | about 23 hours ago
Department of Energy (DOE), providing analysis on domestic energy policy. Its work spans technology policy, infrastructure policy, state, local, tribal, and territorial policy, and energy jobs. It provides
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data analysis in cosmology and astroparticle physics. These positions focus on the development and application of SBI methods in two contexts: spectroscopic galaxy surveys and the gamma-ray sky
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to the society. Renewal is based on performance and the availability of funding. Duties Develop and design novel computational and AI methods for single-cell genomics data analysis, protein design, etc
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The Post-Quantum Cryptography Migration Interdisciplinary Lab (PQC-X) at XJTLU has an opening for a post-doc position. We are seeking excellent researchers in design, analysis, implementation and/or
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modeling and networked biological systems. You will work at the intersection of high-performance computing (HPC), computational biophysics, and machine learning, leveraging leadership-class computing
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, deep learning Computational genomics, network modeling, spatiotemporal/functional data analysis, time-series Strong programming in R and/or Python; best practices in reproducible research Excellent