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Field
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experience available. Scientific experience Microbial biotechnology (this can include, but is not limited to, fermentation technology) (Bio)chemical analytical techniques (e.g., HPLC, optical density
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for automated interpretation of crystallography data for optimal ligand placement. Build and curate training datasets linking electron density maps and structural models. Design and evaluate AI models for 3D
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to their energy density and scalability. However, there are still many challenges to address before their deplyment at very high temperatures. In this project, you will investigate molten salts for high-temperature
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and discuss ideas. You have previous practical experience in one or more of the following more specific topics: Machine learning interatomic potentials (GAP, NNP, MTP, ACE, MACE, etc.); Density
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Platform (MAAP); exploring potential synergies between above-ground biomass density (AGBD) products from the Biomass, NISAR and GEDI missions. Technical competencies Knowledge relevant to the field
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solutions to increase the energy density of flow batteries. You will study complexes with transition metals, such as iron-based complexes, and inorganic prussian blue analogue materials. You will also study
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journals and present research findings at professional meetings; Co-advise graduate and undergraduate researchers as appropriate. Minimum Qualifications: Demonstrated expertise in density functional theory
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of spintronics. Complemented with density functional theory (DFT) calculations to build scientific and technical competence as well as strengthen transferrable skills, this position provides you with the skills
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simulations, density functional theory (DFT), molecular simulations, or machine-learning potentials. Experience with generative AI, active learning, uncertainty quantification, Bayesian optimization
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built on that genomic work. Responsibilities: Design and execute field and controlled-environment pathology experiments, including inoculum-density gradient studies; direct undergraduate research interns