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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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. - 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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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 data analysis, time series analysis, machine learning and algorithm development. have knowledge on machine learning with Python or MATLAB. are very fluent in English, both spoken and written. possess
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measures for comparing hearing performance between ANI and CI users. Create and maintain software tools for stimulus delivery, response collection, and data analysis (MATLAB and Python). Collaborate with
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. MATLAB, C/C++, Python. Highly motivated and keen on working in an international and interdisciplinary team. Applicants with strong background in the following fields are preferred: Machine Learning Formal
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programming (Python, MATLAB), and a high level of experimental autonomy will be particularly valued. Website for additional job details https://emploi.cnrs.fr/Offres/CDD/UMR9001-NORLAN-013/Default.aspx Work
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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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; familiarity with Julia and Matlab is appreciated. -Excellent written communication skills in English. Additional comments Flexible starting date Website for additional job details https://emploi.cnrs.fr/Offres
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data science. Scientific writing skills and first journal publications Experience in programming (e.g. Python, MATLAB) for experiment control and data analysis is advantageous. Self-motivated, organized