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Field
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autonomous, closed-loop (“self-driving”) laboratory workflows. The role integrates catalyst synthesis, high-throughput reactor testing, and in situ/operando characterization with machine-learning and agentic
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Requisition Id 16802 Overview: We are seeking a Postdoctoral Research Associate for the development and application of advanced multiphysics simulations, and machine learning (ML) methods relevant
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commercial production conditions. Nutritional & Toxicological Analysis Conduct proximate composition analyses (crude protein, lipid, ash, moisture) and coordinate elemental analyses on BSFL biomass and frass
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batteries Degradation, failure, and safety and sustainability of lithium-ion, lithium-metal, sodium-ion, and solid-state batteries Job Duties: Conduct independent and collaborative research under
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projects for this position will focus on one or both of the following areas: (1) Developing novel assays to measure variation in transcription factor - DNA binding across natural genetic backgrounds, and
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, etc.) composites. Hands-on experience with lab scale polymer synthesis and analysis. Preferred Qualifications: Experience with computer modelling systems such as finite element analysis (FEA
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. Applicants are welcome to use figures, conceptual diagrams, or other concise visual elements in their statements when these help communicate their ideas. For questions about this position, please email
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economy. As a postdoctoral researcher, you will unravel how silicon suppresses liquid copper infiltration at the atomic scale, using density functional theory-accurate machine-learned potentials and
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SPECIFICS Postdoctoral Scholar of Machine Learning and Statistical Genomics Description: The Department of Public Health Sciences is seeking a postdoctoral scholar. The overall goal is to: (1) develop and
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computer codes of mesoscale structure evolution. o Study the physics of structural, ferroelectric, electronic, and piezoelectric responses of mesoscale domain structures. o Assist writing proposals