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Sessional Lecturer - PPG2012H-S-Topics: Applied AI Systems & Governance: Technology, Policy & Practi
-world policy applications to equip students with the knowledge and tools needed to engage with AI at both strategic and operational levels. Students will learn how modern machine learning models work
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educational technology, digital tools, and online learning management systems. Strong verbal and written communication skills. Collegiality. Preferred Qualifications: Ability to teach courses aligned with
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-driven or machine learning techniques relevant in the context of engineering Personal characteristics To complete a doctoral degree (PhD), it is important that you are able to: Work independently in a
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research groups in computer architecture, databases, machine learning, networking, programming languages & compilers, software engineering, systems, and theory. Faculty from our school are leaders in a
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technologies, such as low-power long-range (LoRa) and high-throughput, low-latency technologies (5G). In the context of machine learning, communications play a central role in data sharing and in the decision
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field. Must be a current Computer and Information Science graduate student at UM-Dearborn Self-motivation and willingness to learn new applications and the ability to work independently Good communication
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contribute to exciting research in learning and control in a collaborative and dynamic environment. About us At the department of Electrical Engineering research and education are performed in the areas
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, Intelligent Systems Engineering, Network Engineering and Security, and Software Engineering. Find out more about SoC at https://www.cdm.depaul.edu/academics/Pages/School-of-Computing.aspx . Qualifications
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visitors. The Ginzton Laboratory is an interdisciplinary research lab that explores the most exciting and productive areas at the overlap between engineering and the sciences. The combination of science and
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or equivalent Skills/Qualifications The work and responsibilities of the researcher will include the following research topics: Knowledge in: Computational neuroscience Machine learning / AI Biomedical data