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Field
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team. Strong computational, quantitative, and/or engineering skills, with proficiency in developing custom code (Matlab, Python, etc.) for data analysis. Past medical research is not required, but
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previous publications involving statistical analyses. Experience with behavioral methods. Proficiency in R, Python, MATLAB, or JavaScript for data analysis and experiment programming. Experience with grant
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. Utilize physics-based robotic simulation tools (e.g., Gazebo, Matlab/Simscope) and space mission analysis software (e.g., GMAT, STK) for simulating and studying spacecraft systems operations. Utilize
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Maxwell’s equations and scientific programming (e.g., Matlab, Python, C++) Competent in teamwork and presenting results in informative visuals Interpersonal skill: Ability to work under pressure, Ability to
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languages (e.g., Julia, Matlab, C#, C++) Familiarity with the applications and theory of environmental genomics Qualifications: A PhD in quantitative ecology, quantitative conservation biology, applied
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and instrumentation. Familiarity with design and simulation tools like SolidWorks, Autodesk Inventor, MuMax, OOMMFi COMSOL, or similar. Familiarity with the programming languages Python, Matlab
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-photon imaging, animal behavior, and prior experience researching the auditory midbrain (inferior colliculus). Detail-oriented, quantitative mindset and experience with scientific programming (Matlab
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researching the auditory midbrain (inferior colliculus). Detail-oriented, quantitative mindset and experience with scientific programming (Matlab, python, or R) is critical. Strong organizational, leadership
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. The candidate will also have experience of psychophysiological methods, preferably EEG or MEG, and strong quantitative and programming skills in time series analyses using Python/MATLAB (or equivalent
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from Non-Destructive Testing methods, Interferometric Synthetic Aperture Radar (InSAR) or similar, using software tools such as MATLAB and Python amongst others. Prior hands-on experience in optical