11 modelling-and-simulation-postdoc Postdoctoral positions at University of Houston Central Campus
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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
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, forest management, seismic hazard modeling, and landscape evolution in seismically active regions. To apply, candidates should send a copy of their latest CV, a brief summary of their research background
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publications) • Experience with numerical simulations and/or geochemical modelling software • Advanced knowledge of isotope geochemistry and/or related field • High proficiency in English (C2 equivalence, both
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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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, 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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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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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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experience working with orthotopic cancer models in mice (e.g., lung, neuroblastoma, pancreatic). Experience with animal surgery is a plus. A strong foundation in immunology is essential, with demonstrated
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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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, 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