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Program
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Field
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propagation physics (acoustic, seismic, ultrasonic, electromagnetic) and/or diffusive phenomena (e.g., electrical resistivity). Strong programming skills either Python, MATLAB, julia or other scientific
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data processing, single-cell data processing, and Matlab, R, or Python, and scientific illustrations will be an advantage. Finally, the ideal applicant also has high proficiency in spoken and written
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and/or cognitive neuroscience, preferentially in the field of attention and memory Excellent research methods knowledge and skills Solid programming skills (e.g., MATLAB, R, Python) Demonstrated
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-, T2-weighted MRI, diffusion-weighted imaging) Programming experience (e.g., MATLAB or Python) Demonstrated trajectory toward applying for an NIH K-award within two years of appointment Special
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relevant field strong background in control engineering and systems theory high proficiency in programming (C, C++, Python, Julia, or MATLAB) high proficiency in English, both written and spoken, and
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and knowledge and early-career authorship. Responsibilities Programs in Stata, Python, R, or Matlab to analyze data using econometric tools. Collaborates with research team to develop economic models
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have experience of compressible-flow rig design, CD CAD, and the ability to work across systems integration topics, along with programming in one or more of: Python, Matlab, C, C++, FORTRAN, LabVIEW. You
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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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). Conduct in vivo optical imaging experiments on healthy volunteers and patients; Develop image-analysis pipelines (Python, MATLAB) and model functional optical signals; Optimize and maintain the AO-RSO
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in scientific language and computational tools like R, Python, MATLAB and/or C++ Familiar with computational methods in the techniques or simulations. Required Skills & Abilities: *Ability