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(e.g., FDTD, FEM, RCWA) Experience with data analysis tools such as Python or MATLAB Experience with 2D materials, polaritonic systems, or anisotropic optical media Experience with near-field optical
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processes contributing to sea level change; b) experience with ocean and/or earth system modeling; c) experience with Python and scientific data analysis. Candidates must have a Ph.D. or expect to complete a
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and conferences. Proven experience in design and implementation of deep learning algorithms. Outstanding programming skills in Python. Extensive experience working on one or more of the following areas
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of Microcomputers, Introduction to Computer Information Systems, Introductory Programming in Python, and Data Analytics Courses. Required Qualifications Candidates must hold a minimum of a Master’s degree in the
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good academic & judicial standing with the University of Arkansas Have programming experience in Python and/or R Must have previously completed Calculus I and/or Calculus II or equivalent Preferred
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leader Prof. Hiroaki Kikuchi, Meiji University) aims to develop innovative data privacy technologies. A post-doctoral researcher who engages in the following studies is now open. https
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working in a collaborative environment as well as independently Programming, scripting, and/or web development experience using JavaScript, Java, C#, ASP.Net, PowerShell, Python or a combination
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methodological skills using, for example R or Python. - Strong collaborative skills and ability to take initiative. For further information about specific doctoral education, see, Study plans for doctoral studies
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include: -Other experience in mass spectrometry -Strong statistical and analytical experience with data treatment -Coding experience in either R or Python -Other experience in analytical chemistry and/or
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or Computational Biology or similar. Experience: Experience in bioinformatics, biostatistics, or biocomputing (with verifiable knowledge of R and/or Python programming). We are looking for a candidate with the