131 algorithm-"Multiple"-"U.S"-"Prof" "NTNU Norwegian University of Science and Technology" positions at Northeastern University
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, developing, and implementing AI systems and data pipelines that enhance and automate university operations across multiple departments. This role is crucial in transforming manual processes into AI-driven
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systems and data pipelines that enhance and automate university operations across multiple departments. This role is crucial in transforming manual processes into AI-driven solutions, focusing on building
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, and the willingness to work with multiple researchers, and technical staff in an interdisciplinary environment; Must be able to exercise judgment and discretion, and to prioritize and manage multiple
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courses with minor algorithmic components and primarily programming courses with a focus on bioinformatics methods. Such graduate courses seek experienced bioinformatics, biotech, and data science
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algorithms. The candidate should have the following skills: • Strong technical, analytical, and quantitative abilities; • Strong interpersonal, organizational, and communication skills, and the willingness
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learning algorithms. With a passion for high-performance technology, large-scale machine learning, and AI-type algorithms, students become intuitive problem solvers, experienced engineer architects, and
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and methodological perspective of an engineer. Students build advanced design and engineering skills, enhance their knowledge in cloud computing, and develop machine learning algorithms. With a passion
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The ability to work well with multiple levels of staff, students, and clients at varied levels of proficiency undefined Flexibility with their schedule with late afternoon and early evening availability (e.g
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record of interdisciplinary research, innovative pedagogy, and relevant teaching experience in music industry/business and intersecting technical areas such as algorithm development, artificial
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experiences through software on participant devices and provides privacy-preserving access to researchers who wish to study human and algorithmic behavior on the Internet. We are in the process of expanding