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Education & Experience: Ph.D. degree, with at least 3 years of experience during degree program with modeling, data analysis, instrumentation and technical writing. Required Knowledge, Skills & Abilities
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travel to meetings to present their work. Job Requirements REQUIRED: PhD in Astronomy/Astrophysics, Computer Science, Physics, Chemistry, or related field; demonstrated expertise in Python and significant
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experience in economic and supply chain analysis, computational modeling, or policy analysis. Proficiency in scientific programming languages (e.g., Python, R) and data analysis libraries (e.g., pandas, NumPy
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answering the questionnaire you may attach the documents. Qualifications Required Education Ph.D. in electrical and computer engineering, computational sciences, computer science, informatics, or related
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conferences, workshops, and more Educational release time and tuition assistance for completing a degree while a Texas A&M employee Living Well, a program at Texas A&M that has been built by employees
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for completing a degree while a Texas A&M employee Living Well, a program at Texas A&M that has been built by employees, for employees Instructions to Applicants: Applications received by Texas A&M University
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biological and quantitative techniques including microscopy, flow cytometry, computational/mathematical modeling, and utilizes approaches from synthetic biology and complex biological systems. Highly motivated
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Apply now Job no:535928 Work type:Faculty - Other Location:Eugene, OR Categories:Natural Science, Research/Scientific/Grants, Physics Department: CAS Physics Rank: Postdoctoral Scholar Annual Basis: 12 Month Review of Applications Begins November 14, 2025 (updated); position open until...
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artificial intelligence with a preferred focus on computer vision and medical image analysis. Preferred Qualifications: PhD in Medical Physics, Bioengineering, Biomedical Engineering, Physics, Computer
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of Applied/Computational Mathematics. Research topics of interest include numerical methods for scientific machine learning and AI, and their applications to various science and engineering disciplines