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Deep Learning (CIDL), part of the Leiden Institute of Advanced Computer Science (LIACS). As a team, we develop cutting-edge techniques for advanced computational imaging systems, combining expertise from
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) Knowledge of HIPAA and research data security requirements Experience with deep learning approaches for clinical NLP Equal Opportunity Employer / Disability / Veteran Columbia University is committed
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Background Check: Yes About the Department: The Department of Psychology (https://psychology.gmu.edu/) boasts over 1,700 undergraduate majors (BS, BA), 330 graduate students (PhD, MA, MPS), and 50 full-time
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and deep learning fundamentals, and the ability to explain concepts clearly to audiences with varying technical backgrounds, is an advantage. Experience with Python for AI prototyping and demonstrations
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California State University, San Bernardino | San Bernardino, California | United States | about 18 hours ago
) and graduate (MPH) programs in Public Health and help with development of the DrPH program. The successful candidate will teach in all programs and is expected to be familiar with the Council
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with the centre’s user partner Kongsberg Satellite Services (KSAT). We are therefore seeking someone with a strong interest and competence in deep learning. Working environment: The project will be done
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part of a team, able to learn quickly, meet deadlines and demonstrate problem solving skills. Thorough knowledge of web, application and data security concepts and methods. Preferred Qualifications PhD
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have good knowledge of machine learning techniques, ideally deep learning; you have strong programming skills in Python, MATLAB, or C++, including deep learning frameworks (e.g., PyTorch); you have the
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Job Requirement Have relevant competence in the areas of Deep Learning/Computer Vision. The experience in diffusion models is a plus. Have a PhD degree in computer science/engineering or related
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learning to our students. We are interested in applicants with a PhD in a relevant discipline, alongside professional experience in an engineering or engineering-related environment. Experience