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excitations in nanoscale structures (e.g. methods of computational chemistry) or related techniques. Programming skills (e.g., Python, Matlab, FORTRAN, C, C++) Will to learn new techniques and approaches
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Posting Summary Logo Posting Number RTF00269PO25 USC Market Title Post Doctoral Fellow Link to USC Market Title https://uscjobs.sc.edu/titles/156387 Business Title (Internal Title) Post Doctoral
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of degree equivalency. Preferred Qualifications: Background in medical imaging, imaging simulation, and machine learning. Programming in Python, MATLAB, C, CUDA. Other Requirements: This position is hybrid
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MATLAB or Python is a significant plus, as is previous coursework/enduring interest in neuroscience, biology, and/or bio-engineering. The ideal candidate would be willing to accept the position for 2 years
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. - Experience in programming, e.g., in C++, Python or Matlab. Experience with quantum simulators, such as NetSquid, is a plus. - Familiarity with the basic concepts of quantum computing. - Curiosity to research
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to the subject area. The candidate’s doctoral degree should be primarily focused on computed tomography, image analysis or similar. Essential criteria are: Demonstrated experience in programming (e.g., Python, MATLAB
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include computational programming (Matlab, LabView, Python, etc) and sensor instrumentation, signal capture, and processing. FLSA Non-Exempt Full Time/Part Time Full Time Number of Hours Worked per Week 40
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QUALIFICATIONS: Minimum 2 years of Statistics, Biostatistics, Bioinformatics or related field experience preferred. Experience using machine learning algorithms in Prism, MATLAB, and Python. Skilled in R, SQL, C
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Python or Matlab. Desirable criteria Additional biomedical experience such as medical training and working with fMRI data Strong communication skills and passion to disseminate research findings, including
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-on research experience is a necessity. Proficiency in MATLAB or Python is a significant plus, as is previous coursework/enduring interest in neuroscience, biology, and/or bio-engineering. The ideal candidate