11 modelling-and-simulation-of-combustion-postdoc Postdoctoral positions at University of Houston Central Campus
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supervision conferring with higher levels only in unusual situations. 8. Performs other job-related duties as required. There is an immediate opening for a postdoc position in the Coulson- Thomas laboratory
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-hydrogel interactions, focusing on plasma formation and bubble generation at the nanoscale. Key job responsibilities are listed as follows: • Develop and implement MD models to simulate laser-induced plasma
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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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CCS related experimental studies to obtain rock properties, evaluate rock/fluids interactions, and obtain results to be use in the development of CO2 storage site(s). • Use simulation models to design
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design of hyperstable miniprotein binders using advanced computational platforms. The work integrates protein modeling, in silico affinity optimization, and mechanistic studies aimed at modulating key
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directly related to the type of work being performed. No experience is required. Additional Posting Information: Additional Responsibilities: The postdoc will analyze long-term data sets on plants and
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supervision conferring with higher levels only in unusual situations. 8. Performs other job-related duties as required. Applicants should submit a cover letter, curriculum vitae, copy of one selected
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. We are seeking a candidate with solid experience on immunology, basic and translational immunology, and genetically modified animal models. This includes but not limits to, experience in immune-related
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, Neuroscience, or related fields. The candidate should be experienced in collecting and modeling visual psychophysics data in human subjects with or without vision disorder. Preference will be given to candidates
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encryption and zero-knowledge proofs to protect personal data. • Create solutions for real-time detection of model tampering, including mechanisms for identifying and preventing personal data exposure