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Field
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expertise in one or more of the following: Magnetic resonance, electron paramagnetic resonance Hardware/software interfacing Python, MATLAB, LabView, C/C++ Mammalian cell culture and purification
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scientific communication proficiency in one or more coding languages (e.g., Python, R, Matlab, or equivalent) strong interpersonal skills and the ability to work collaboratively within a diverse research team
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record of publications in leading international scientific journals (Q1) and effective scientific communication proficiency in one or more coding languages (e.g., Python, R, Matlab, or equivalent) strong
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instrumentation (e.g., pumps, flow-controls); Basic laboratory automation and programming (e.g.; Matlab, Python, Arduino); Writing reports; Mentoring of younger students. Personal Skills “Hands-on” approach
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Engineering, Computational Biology, Bioinformatics, Biostatistics, Systems Biology, and Statistical Genetics. Proficiency in at least one programming language such as Python, Julia, R, C, C++, Fortran, Matlab
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solid mathematical background with proven advanced experimental capabilities and excellent programming skills (e.g. C++, ROS, Matlab, etc.). You should have a strong vision to evaluate and demonstrate
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) and effective scientific communication proficiency in one or more coding languages (e.g., Python, R, Matlab, or equivalent) strong interpersonal skills and the ability to work collaboratively within a
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. Preferred backgrounds include nonlinear optics, quantum optics, spectroscopy, or instrumentation. Proficiency in software and coding (e.g., MATLAB, LabVIEW, Python) is expected. Applicants with a strong
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Radiation Transport techniques, and signal processing. Certificates/Credentials/Licenses Computer Skills Knowledge and experience of programming skills: (MATLAB, Python/C++) Monte Carlo simulations (ex
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University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | about 1 month ago
, Javascript, or Matlab. Must have experience in analyzing remotely sensed imagery or other large geospatial datasets. Preferred Qualifications, Competencies, and Experience Experience working in high