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using digital learning tools such as R, Python, Stata or Matlab, and has strong data skills. Holds, or will soon complete, a doctorate in a relevant discipline. Desirable qualities include experience
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skills: experience of programming in one or more languages (e.g. R, C/C++, Python, Matlab). Practical experience of algorithm development and implementation of machine learning approaches. Experience in
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Methods for Partial Differential Equations and Functional Analysis, programming skills (e.g., Matlab or Python), international experience, and excellent proficiency in written and spoken English are
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with material characterization such as XRD, SEM, FTIR, ICP-OES Very good programming and user skills in Python, MATLAB, LABVIEW or comparable technical computing and simulation environments Good English
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non-human primates and/or background in electrophysiology of the visual system are preferred. All candidates must possess strong quantitative skills (e.g. Matlab, C++, Python). The term
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(such as R and Python), and other data analysis tools (such as MATLAB, SPSS, SAS, Qualtrics, and Tableau). Experience training and consulting on the development of data management and sharing plans
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the following: A background in experimental neuroscience, animal behavior, or cognitive psychology Experience with data analysis, programming (e.g., Python, MATLAB, R), and statistical methods
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technical skills • Excellent spoken and written communications • Proficiency in MATLAB/Python and UNIX/Linux environments • Strong organizational skills Preferred: • Prior experience in vision research • fMRI
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courses in one of these areas. Alternatively, you have gained essentially corresponding knowledge in another way. Experience with programming (e.g., Python, MATLAB, C/C++ or similar) and an interest in
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monitoring. Familiarity with computational image analysis, scripting (Python, MATLAB), or machine learning–based image workflows. Experience with method development, imaging assay optimization, or pipeline