33 phd-software-engineering-"https:"-"https:" Postdoctoral positions at Texas A&M University
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/Resume. Required Education and Experience Appropriate PhD, MD, or DVM in a related field. Preferred Qualifications Experience in one or more of the following (i) whole cell patch clamp electrophysiology
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Job Title Postdoctoral Research Associate Agency Texas A&M University Department School of Engineering Medicine Proposed Minimum Salary Commensurate Job Location Houston, Texas Job Type Staff Job
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Job Title Postdoctoral Research Associate Agency Texas A&M University - Corpus Christi Department College of Engineering - ENGR Proposed Minimum Salary Commensurate Job Location Corpus Christi
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. Required Education Appropriate doctoral degree Preferred Qualifications PhD in Neuroscience Prior experience with electrophysiology and/or two-photon microscopy imaging Data analytical skills including
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present results at conferences. Organize workshops and seminars. Mentor undergraduate and graduate students. Qualifications PhD in Physics. A well-qualified candidate for this position will also possess
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Institutional Review Board (IRB) submissions at a major academic institution. Experience utilizing data visualization software (e.g., Tableau, Power BI, R Shiny) to design and implement interactive dashboards
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ideal next step for researchers eager to advance translational neuroscience and contribute to future therapeutic breakthroughs. Required Education and Experience: Appropriate PhD in neuroscience
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to the application under CV/Resume. Required Education and Experience Appropriate PhD in neuroscience, neuroimaging, medical physics, nuclear imaging, mathematics, or related field. Preferred Qualifications
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scientific manuscripts/publications Assist with data analysis using Statistical Analysis Software Team collaboration and problem solving Engage in weekly lab meetings to discuss progress, troubleshoot ongoing
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structuring of river systems. Familiarity with software and tools for simulating river network dynamics, such as R, Julia, Python, or GIS-based hydrological modeling platforms. Ability to integrate physical