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project supported across multiple Molecular Foundry facilities. Develop and design methods using automated robotics for protein expression, purification and surface conjugation on microarray substrates
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statistical methods, leading to robust and scalable UQ methods Linear algebra and tensor algorithms for quantum computing AI/ML algorithms for HPC code development Novel algorithms for advancing AI/ML
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, new large loads, energy affordability and utility regulation Exercise independent judgment in determining research objectives, approaches, and methods, including for new or special projects
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(DOE ) Plant Transformation Capability (PTC). First, you will conduct R&D in plant transformation, including the development of novel virus-mediated delivery methods that could reduce genotype
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Mathematics, Computer Science, Physics, or related field. Strong research track record developing advanced mathematical and computational methods for analyzing complex experimental or imaging data. Demonstrated
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factors. Exercise judgment in selecting methods, techniques and evaluation criteria for obtaining results. Determine methods and procedures on new assignments and may coordinate activities of other
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observations. Desired skills/knowledge: Knowledge of spectroscopy. Heterogeneous catalysis background is ideal. The preferred non-equilibrium method can be of the candidate's choice, such as kinetic theory
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of variable factors. Exercise judgment in selecting methods, techniques and evaluation criteria for obtaining results. Determine methods and procedures on new assignments and may coordinate activities of other
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scanning calorimetry (DSC), drop-solution calorimetry, acid-solution calorimetry, isothermal titration calorimetry (ITC), or related thermochemical methods. Experience with high-temperature or molten salt
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to identify and quantify energy, environment, and mobility implications from changes to the transportation system using interdisciplinary methods that combine engineering, economics, human behavior, technology