15 phd-mathematical-modelling-ecological-modelling Postdoctoral positions at University of Houston Central Campus
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Department: Mathematics Salary: Commensurate with Experience/Education Description: Possesses, understands, and applies a comprehensive knowledge in area of specialization. Develops understanding
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Department: Mathematics Salary: Commensurate with Experience/Education Description: Possesses, understands, and applies a comprehensive knowledge in area of specialization. Develops understanding
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analyses and murine models. Qualifications • A PhD in Immunology or other fields with deep experience in testing the mechanism of novel immune therapy or immune mechanisms associated with neurodegeneration
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supervision conferring with higher levels only in unusual situations. 8. Performs other job-related duties as required. Preferred Qualifications: Candidate must have a PhD in Psychology, Vision 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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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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and experience in both experimental and modeling research work documented by corresponding journal publications, and is expected to perform the following tasks/duties for the research group: • Conduct
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models, including carrying out surgeries in mice. In the Coulson- Thomas lab each investigator is responsible for maintaining the mouse colonies involved in their own studies in order to ensure the highest
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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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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