5 formal-method-phd positions at Lawrence Berkeley National Laboratory in postdoctoral
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methods for analyzing complex experimental or imaging data. Demonstrated expertise in several of the following areas: inverse problems, statistics, optimization, uncertainty quantification, and/or computer
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an interdisciplinary research team. Desired Skills/Knowledge: Experience with gene circuits or metal biology. Documented knowledge of high throughput method design and/or barcode-based screening. Additional Information
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interfaces in Li-ion rechargeable batteries. These techniques include optical in situ characterization methods such as, Raman, FTIR spectroscopy/microscopy, ellipsometry, TERS, near-field nano-FTIR techniques
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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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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