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. The position aims to investigate the fundamental physical and chemical processes underlying the thermal-chemical conversion of green fuels, using advanced high-performance computational methods. The research
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light/heating modules, and selection and sorting routines. Guided by machine learning, we will perform directed evolution experiments where we optimize the synthetic genome that encodes for a biological
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questions we aim to tackle as part of this project are: Why are only some bacteria capable of performing one or both processes? Under which environmental conditions do organisms that can execute both
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candidate will work in close coordination with collaborators across these disciplines and will be embedded in an environment that values computational-experimental integration and high-impact research
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requested. Knowledge, Skills, & Abilities ABILITIES Consistently show high performance in research and teaching Ability to support various constituencies served by the University Proven proficiency with
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computational workflows on a high-performance cluster. You will test hypotheses using data from multiple sources, refining your approach as needed. The role also involves close collaboration with colleagues
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. Concurrently, you will develop lower order analytical models and perform high fidelity computational simulations to corroborate experimental findings and propose other configurations to be subsequently
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. The discovery and use of circulating RNA biomarkers. We are seeking innovative, motivated, and hardworking candidates to be able to perform high-quality, cutting-edge, and independent research. Candidates
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SPECIFICS Post-Doctoral Position – High-Performance Low-Carbon Concrete – Rajabipour’s Lab Dr. Farshad Rajabipour’s research group in the Department of Civil and Environmental Engineering (CEE) at Penn State
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the EU Research Framework Programme? Other EU programme Is the Job related to staff position within a Research Infrastructure? No Offer Description Young Doctor (Postdoctoral Researcher) in the project