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Field
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of the fastest-growing academic health centers in the nation, Texas A&M Health encompasses five colleges and numerous centers and institutes working together to improve health through transformative education
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, assembloids and chimeroids to investigate mechanisms of Parkinson's disease (PD). The work has a particular focus on high-throughput technologies and the analysis of protein aggregation. The project integrates
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modest annual research budget supporting conference travel, analysis, and professional development. Applicants must have a PhD in Marine Biology, Marine Science, Coral Reef Ecology, or a closely related
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Proficiency: Skills in programming languages suitable for numerical simulations and statistical analysis (specifically R or Python). · Analytical Skills: Proven ability to handle complex mathematical
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from different disciplines Contribute to scientific publications and dissemination of results ESSENTIAL REQUIREMENTS PhD in Physics, Photonics, Condensed Matter, or a closely related discipline Proven
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Postdoc – Performance requirements for biobased construction materials used in the building envelope
assessing mold growth and potential impacts on human health. Advanced skills in moisture transport analysis, including experimental investigation and numerical simulation of building envelopes, are required
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. The project involves numerical modeling to investigate the physico-chemical processing of radioactive iodine emissions as they disperse in the atmosphere. Understanding these processes, and especially
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, surrogate modeling of scientific processes, workflow automation and adaptive simulation pipelines, and performance analysis and optimization. The candidate will also contribute to and help originate research
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Postdoctoral Appointee - Uncertainty Quantification and Modeling of Large-Scale Dynamics in Networks
Requirements Required skills, abilities, and knowledge: Recent or soon-to-be completed PhD (within the last 0-5 years) by the start of the appointment in computer science, electrical engineering, applied
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closely related field PhD training covering topics such as computational modelling, numerical methods, statistical analysis, machine learning or data-driven analysis of complex systems Experience 0–3 years