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Systems, Differential Geometry and/or Information Theory. Excellent academic credentials. Experience with programming languages (such as Python, Julia, Matlab, C/C++, etc.). Strong knowledge and interest in
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confidence and a proven track record using common coding languages (e.g., Python, Matlab, Fortran) expertise and a publication track record in numerical geoscience modelling, such as, but not limited to plate
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Systems, Differential Geometry and/or Information Theory. Excellent academic credentials. Experience with programming languages (such as Python, Julia, Matlab, C/C++, etc.). Strong knowledge and interest in
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candidate has proven expertise in X-ray imaging, synchrotron experiments, and multimodal X-ray imaging, e.g. XRD or XRF computed tomography. Experience in scripting in Python or MATLAB is an advantage
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with bioinformatics tools and analyses. • Experience with electrophysiology and proficiency in MATLAB/Python/R models of auditory and vestibular diseases. FLSA Exempt Full Time/Part Time Full Time Number
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(Python, MATLAB) for processing and analyzing large or multimodal datasets (e.g., neural activity and behavior). Experience working with quantitative behavioral or electrophysiological data collection
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, Matlab, R, etc.) is also advantageous. Department Contact for Questions Questions regarding the position or application process can be directed to: Prof. Van Stappen, Department of Chemistry, Indiana
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skills Competency in or willingness to learn process-based modelling Strong data management skills and proficiency with analytical tools e.g. Matlab, R, Python Previous experiences with eddy covariance
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(e.g. Matlab / Python) Experience of or willingness to work with pre-clinical tissue models (e.g. farmed meat) and human tissue (e.g. contaminated instruments in clinical facilities). A proven academic
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neurological disease models. Familiarity with neuroscience techniques and CNS biology. Experience with advanced microscopy and imaging techniques. Programming skills in R, Python, or MATLAB. Prior experience