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, multidisciplinary projects in a diverse environment. Desired skills/knowledge: Familiarity with modern machine learning methods and software, including experience applying them to scientific or experimental datasets
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the outcomes of bioengineering interventions. You will work closely with an interdisciplinary team of bench scientists, automation engineers, and software engineers in devising methods for high-throughput data
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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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skills/knowledge: Familiarity with modern machine learning methods and software, including experience applying them to scientific or experimental datasets. Experience collaborating with domain scientists
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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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systems and stabilization, and experimental electronics and control software Demonstrated experience in the design and implementation of optical systems for trapping, imaging, and addressing single atoms