10 postdoc-molecular-modeling 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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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. There is an immediate opening for a postdoc position in the Coulson- Thomas laboratory
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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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Postdoctoral Fellow to join the team. The research aims to study laser-induced electronic and structural dynamics of photoresponsive materials, molecular thin films, and interfacial systems. The experimental
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samples and • Apply geochemical modelling techniques to the processing and interpretation of existing isotopic data. • Lead in the development and submission of high-quality research manuscripts and develop
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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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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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algorithms for advanced and multi-modality imaging. Work on system designs, physics models, computation, benchtop experiments with small animals, and clinical translation. Additional areas of interest are in
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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