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Field
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uncertainty quantification into scientific machine learning workflows and optimize the design of computational (ABM) and wet-lab experiments. • Collaborate with mathematical modelers and experimentalists in
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computational models, actively participating in lab and group meetings, collaborating with team members to refine research approaches, maintain accurate records of experimental procedures and results
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Job Title Postdoctoral Research Associate Agency Texas A&M Transportation Institute Department Environmental Modeling Proposed Minimum Salary Commensurate Job Location Austin, Texas Job Type Staff
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Postdoctoral Associate Required Qualifications: (as evidenced by an attached resume) Doctoral Degree in cognitive science. Strong background in Computer Science with a research focus in behavioral
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of agentic AI for science, scientific reasoning, federated & collaborative learning, and reinforcement learning (RL) for self-improving models, in the context of leadership scientific workflows and
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areas in data science and engineering systems. Required Knowledge, Skills, and Abilities Demonstrated expertise in computational sciences and numerical modeling. Demonstrated expertise in machine learning
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, spectrophotometric assays, drug binding assays) Ion channel biology/electrophysiology Novel computational approaches (imaging analysis, protein design, etc.) If projects involve mouse models, then help supervise
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Position Summary: We are seeking a highly motivated and interdisciplinary Postdoctoral Researcher to join a collaborative project aimed at developing an integrated computational model linking the materials
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citizens. The Critical Technology Initiative at CMU is looking for a Post-Doctoral researcher to advance an analytic research program to inform innovative technical and policy solutions. As a researcher, you
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complements the strengths of Texas A&M AgriLife Research unit at Corpus Christi in Digital Agriculture. The incumbent is expected to work with a team of transdisciplinary scientists to develop predictive models