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Engineering subareas, which may include computer programming, algorithm design, digital logic design and computer architecture. At least 2 years’ experience in teaching at the college/university level is
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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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use of data and algorithms. Excellent written and verbal communication skills and ability to communicate effectively with a variety of different stakeholders, e.g., academics, business executives
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optimization of optical imaging hardware, develop data acquisition software and algorithms for data processing, as well as perform phantom and human clinical studies. This candidate is expected to co-supervise
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such as artificial intelligence, machine learning, data-driven design, algorithmic processes, information design, and data visualization. A full course load with a 1.0 FTE appointment will be three 4-credit
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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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use of data and algorithms. Excellent written and verbal communication skills and ability to communicate effectively with a variety of different stakeholders, e.g., academics, business executives
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facing health, security, and sustainability with groundbreaking fundamental and applied research. By harnessing powerful tools and algorithms, researchers decode scientific complexities faster and at
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on the design, development, and realization of future communications technologies. You will be part of the team and contribute to ongoing developments in theory, algorithms and translation to practice in
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group aims to bring fundamental changes in the way the sensors and electronic devices are developed using materials designed for sustainability, and resource efficient printed electronics on flexible