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Program
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Field
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first author in high impact, peer-reviewed journals. • Experience designing and analyzing statistically powered experiments (DOE, ANOVA, regression) using standard statistical packages (e.g. JMP, Matlab
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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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programming skills in Python, C++ and/or Matlab are required. Good understanding of optics simulation, lithography and cleanroom processes (coating, etching, interference lithography) beneficial. We offer a
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for measurement data (preferred for plasma physics or HEP). Knowledge of Python, Matlab. Additional assets: Experience in laboratory work and knowledge of the principles of particle detectors and measurement
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. Strong candidates will also have software experience with coding in Python, C++, and ideally MATLAB and databases such as MySQL. The successful candidate will be able to work both independently and closely
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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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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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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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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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-, 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