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. It's busy at MIT and we are looking for some awesome administrative staff to help us meet the needs of our students as they commence and progress through their learning journey with us. E pā ana ki te
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implementation of a successful practical learning experiences for MIT Nursing students and will be integral in maintaining the clinical learning area as high calibre service of the school. Mōu te take - E uiga ia
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, computer science, machine learning, or related field; two years' related experience, including programming experience in Python; experience with software development practices, including git-based version control
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. As a Software/ML Engineer on the Fish Counting Project, you will work closely with researchers to translate machine learning processes from research to production and deliver solutions that empower
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is expected An excellent mathematical background and experience in software development is required Experience in developing and applying statistical and/or machine learning-based computational methods
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Massachusetts Institute of Technology (MIT) | Cambridge, Massachusetts | United States | 19 days ago
. Job Requirements REQUIRED: high school diploma or its equivalent; computer skills; practiced documentation skills; strong organizational, interpersonal, and communication skills; awareness of safe work
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subject with above-average grades You have very good programming skills in deep learning frameworks and Python Ideally, you already have basic knowledge of computer vision and computer graphics You enjoy
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large data sets. Experience in machine learning techniques would be an asset Knowledge of infectious diseases. Knowledge of diagnostics research would be an asset Proficiency in coding and analysis using
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leader in interdisciplinary, applied research with expertise in visualization, design, computer graphics, and learning science. The research nexus for the division is the Visualization Center C, a unique
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goal of this project is to develop machine learning techniques to improve climate change simulations. M²LInES is composed of more than 30 scientists at NYU, Columbia, MIT, Princeton, GFDL, NCAR and CNRS