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-oriented background - You have a genuine interest in signal processing and machine learning methodology and algorithms - You obtained good grades in courses related to the topics relevant to this PhD
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is located in Pittsburgh, PA, a city with a vibrant research and tech community. The ideal candidate has a PhD in Computer Science, Electrical Engineering , or a related field, with a strong
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. · Professional and/or teaching experience in engineering, computing, or technology. · Experience supporting or mentoring project-based learning. · Commitment to delivering inclusive, high-quality teaching that
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» Cybernetics Engineering » Control engineering Engineering » Mechanical engineering Engineering » Electrical engineering Researcher Profile First Stage Researcher (R1) Positions PhD Positions Application
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remains challenging, limiting multiscale imaging approaches in near-field holotomography. To address this, the PhD project combines machine learning, high-performance computing, and synchrotron-radiation
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interdisciplinary team with clinicians and engineers; You have strong programming skills in Python; You have knowledge of medical image processing, and machine learning and deep learning techniques; Written and
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of Computer Science at UNNC is developing strong research in areas including Big Data and Visual Analytics, Computational Intelligence, Machine Learning, Software Implementation and Testing, and their applications in
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engineering, machine learning, molecular design, and sustainability, helping to create smarter ways of identifying promising sorbents for electrochemical CO2 capture. Over the course of the project
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learn teamwork and address questions of ethics and social impact. We regularly team-teach courses with both technical communication and engineering (technical) faculty. Our department employs 36 faculty
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• At least intermediate knowledge of cyber security • Knowledge of programming tools and technologies • Knowledge of data analysis tools • Knowledge of basic and advanced machine learning • Basic