40 software-formal-method-phd "https:" Postdoctoral positions at Texas A&M University
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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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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
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record in theoretical and/or computational mechanics Knowledge, Skills, and Abilities Excellent analytical and mathematical skills Proficiency in numerical analysis using finite element method (FEM
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Experience Appropriate PhD in a related field. Preferred Qualifications Experience with machine learning and deep neural network techniques. Experience with wearable and sensors placed in the environment
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Apply! Submitting a cover letter, resume/CV to assist us with the review process. You may upload these documents to the application under CV/Resume. Required Education and Experience PhD in
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, Molecular Biology, Virology, or a closely related discipline. Preferred qualifications PhD, D.V.M. and/or M.D. Record of productive experience in immunology, chemistry, biochemistry, molecular biology of
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Education and Experience: Appropriate PhD in a related field. Preferred Qualifications: Experience with machine learning and deep neural network techniques. Experience with wearable and sensors placed in