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the technical implementation, the candidate will contribute to the development of regulatory frameworks, business models, and social analyses that enable broader adoption of community PV. This interdisciplinary
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transduction, cell culture, and immune functional assays; supporting the development of in vivo models, such as adoptive T-cell transfer in mice, for preclinical testing of engineered circuits where relevant
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. Opportunity to interact with internationally renowned experts, and with a strong team of postdoctoral researchers and PhD students. The candidates should have A Ph.D. in Mathematics (be near completion). A
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. You will perform microstructural characterization of dry coated electrodes using physical and machine learning based methods and the electrochemical assessment of the electrodes in battery cells. Your
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probe tomography or scanning probe microscopy. Your profile You hold a PhD in Physics, Materials Science or similar. A high level of motivation to work in close collaboration with industry
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in these areas. It is anticipated that the work will be based at CERN for a major portion of the duration of the appointment. There may be opportunities for some presence at the Fermilab LHC Physics
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electron microscopy, atom probe tomography or scanning probe microscopy. Your profile You hold a PhD in Physics, Materials Science or similar. A high level of motivation to work in close collaboration with
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to departmental activities, as well as the standard teaching, grading and mentoring duties. Profile Candidates should have (or be near completion of) a PhD in mathematics with an excellent research track record
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) based DCS and develop a spectrometer with unprecedented spectral resolution, sensitivity, and speed. Together with our partners, we will apply this instrument to study the ro-vibrational nature of chiral
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disease mechanisms and neural biomarkers of disease progression. Our research integrates findings from model systems with translational human studies (e.g., using MEG/EEG), in close collaboration with