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Field
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distributed sensing, and machine learning systems, among others. Successful candidates will be responsible team players and passionate about cutting-edge technologies, as well as possess a deep
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Intelligence, Machine Learning and Data Science; - Software Development; - Cloud Computing; - Mobile Application Development; - Distributed Databases. You will possess excellent communication and
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work with a diverse team of faculty members, engineers, and industry partners, including renowned researchers at the College of Computing and Data Science (CCDS) at NTU. Technical skills, natural
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Intelligence, Machine Learning, Data Science, Security and Privacy, Parallel and Distributed Computing, Deep Learning, Internet of Things (IoT), and Algorithms. Successful candidates will hold a
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distributed computing environments. Knowledge of optimizing pipelines for large-scale genomic projects. Special Instructions Required documents: CV Research summary of PhD work. Cover letter
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application code, middleware, operating systems, networking, drivers, dependencies, distributed computing, and hardware/software interfaces. Design software architectures that allow experimental research
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located in coastal, deep-ocean, and Arctic environments. ONC’s cable arrays host thousands of sensors distributed in, on and above the seabed along with mobile and land based assets strategically
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Inria, the French national research institute for the digital sciences | Villeneuve, Queensland | Australia | 15 days ago
environment to continuously adapt, optimize, and maintain software systems, moving toward perpetual distributed systems. The Spirals project team works in cloud computing and mobile application development
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Posting Title Graduate Fall Intern – Modeling and Analysis of Distributed Hybrid Energy Systems . Location CO - Boulder . Position Type Intern (Fixed Term) . Hours Per Week 40 . Working at NLR NLR’s
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one or more relevant areas, such as distributed systems, networks, machine learning systems, databases, or computer architecture. • Experience measuring or optimizing the performance, resource