32 phd-position-on-quantum-cryptography Postdoctoral positions at University of Houston Central Campus
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investigate the complex physics of quantum materials. We are very interested in how the charge, spin, orbital and lattice quantum degrees of freedom interact to produce novel condensed matter phases. Our team
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written & oral) The candidate should (1) have a PhD degree in geochemistry or a closely related discipline, (2) demonstrated excellence in research through publications in scientific journals, (3) have
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in biomedical optics and microscopy, so a PhD in a relevant field of study is necessary. MQ: Requires singular knowledge of a specialized advanced professional discipline or the highest level of
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support the CPP research, grant applications, and outreach. During the academic year the fellow will teach one or two courses. Position Qualifications: Required: PhD in Public Policy, Political Science
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, LROC, ROC, Image perception, mathematical/computational observer models. Both experimental and computational positions available. Skills preferred include any of these: Monte Carlo simulations, benchtop
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candidates should submit: 1) a CV; 2) the names of three references; and 3) a cover letter. Required qualifications: • PhD or equivalent in Clinical Psychology • Completion of an APA-accredited internship and
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40,000 students. This position offers a unique opportunity to work with real-world data and modern causal inference methods to inform clinical decision-making. Ongoing projects focus on the comparative
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and Environmental Engineering who may also be contacted for questions regarding the position (vhoskere@uh.edu) This role offers an opportunity to lead cutting-edge research with a stellar research team
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molecular biology, vector engineering for non-viral gene therapy, electrophysiology, Optical Coherence Tomography (OCT), fundus imaging, light and electron microscopy and protein chemistry. This position
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qualified candidates to apply for a postdoctoral research position. The research will focus on statistical modeling, machine learning and trustworthy AI to develop effective and efficient algorithms