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Sensor Evaluation: Design and analysis of controlled test explosions in the BedrettoLab, evaluation of seismic sensors (e.g., different types of seismometers as well as distributed acoustic sensing
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is usually determined by mechanisms known as thermal and quantum order-from-disorder. Controlling these offers a way to manipulate and study such exotic systems. The successful candidate will realize
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analysis, and experimental techniques Background in condensed matter physics or materials science Programming skills (C++, Python, ROOT) are a strong asset Good command of English (spoken and written
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offer a full suite of advanced battery materials synthesis and characterization infrastructure, including multiple gloveboxes, controlled-atmosphere furnaces, high-energy ball mills, DSC-TG-MS, Raman, FT
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to electrical, electromagnetic, acoustic and biochemical cues to achieve wireless, real-time control of therapeutic protein expression and metabolic regulation. Leveraging innovative platforms such as direct
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possible. Your position Topic of research: Metal-organic Frameworks (MOFs) are promising for environmental remediation like CO2 capture and toxic metal absorption. We take the approach of controlling the oxo
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LevelMaster Degree or equivalent Skills/Qualifications Your profile Master’s degree in aerosol science or a related field Experience in measurements and data analysis Excellent command of English Ability
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-from-disorder. Controlling these offers a way to manipulate and study such exotic systems. The successful candidate will realize this control experimentally in carefully selected prototypical magnetic
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approach of controlling the oxo clusters building blocks before assembly into MOFs. We care about stability of the MOFs under real conditions. This is a versatile project that takes you from inorganic
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synthesis and characterization infrastructure, including multiple gloveboxes, controlled-atmosphere furnaces, high-energy ball mills, DSC-TG-MS, Raman, FT-IR, XPS, XRD, SEM and more than 1200 battery cycling