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Field
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dichroism, negative stain electron microscopy, and nano differential scanning fluorimetry, alongside experience in biochemical studies of enzymes and molecular cloning techniques. The ability to manage
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of 3D+ structure, heterogeneity, and/or dynamics from scattering and/or microscopy data; (2) autonomous analysis and decision making for self-driving and/or human-in-the-loop experiments; (3) computer
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or nanophotonic device design Hands-on experience with cleanroom fabrication techniques (e.g., electron-beam lithography, thin-film deposition, nanostructuring) Knowledge of numerical electromagnetic simulations
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the electronic, magnetic, and optical properties of 2D materials at ultrafast timescales, which holds promises for developing new energy technologies. The candidate is responsible for conceiving, planning, and
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Plan and execute in situ/operando experiments using advanced characterization methods, including Near Ambient Pressure X-ray Photoelectron Spectroscopy (NAP-XPS), electron microscopy, Raman spectroscopy
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spectroscopy, and electron microscopy. Analyse experimental data, interpret results, and contribute to the development of new hypotheses and research directions. Prepare manuscripts for publication in peer
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, including in vitro studies with neuronal cells and the use of advanced microscopy techniques, such as confocal microscopy; 5. Formalization of the applications: Applications are formalized through a request
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of elementary processes in solids and at surfaces, in particular, ultrafast dynamics of electronic and lattice excitations, electron-phonon coupling, interfacial charge transfer, spin dynamics, as well as spectro
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or Departmental Website: https://www.husainlab.org/ (link is external) How to Submit Application Materials: Please submit application materials addressed to Dr. Sohail Husain and electronically to Dr. Olivia Tsai
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Qualifications Experience with rodents (handling, brain surgeries, tissue harvesting) Experience in confocal microscopy and imaging software (Axiovision and Image J) Experience in image analysis techniques