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: GLA2111H Research Methods for Capstone (LEC0101) & (LEC0102) Course Description: In this course students will learn the basics of research and project design. Students will learn how to conduct a literature
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development of a rapid, near-real-time method for estimating egg quality grades. Additionally, the position will support the design of a system for high-speed, automated quality rating and sorting of individual
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working in a group dedicated to materials science and nanotechnology on applying similar tools. Python Programming, AI methods (ML, DL, computer vision) Summary of conditions: Full time work (37,5h/week
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Responsibilities: Identify the weakness of existing watermarking and adversarial protection methods Develop new deep learning algorithms or improve existing algorithms to address the weaknesses. Prepare codes and
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on "Development of AI Models for Capturing Connections in System Diagrams" is the development of deep learning models to capture connections in scanned diagrams. By the end of the work, a method should be
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locations and campuses. Coordinates proposals, estimates, and installation of signs from third party signage vendors. Job Description Typical duties include but are not limited to: Designs and fabricates
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computational & data science methods and provide solutions that leverage a variety of techniques, including mathematical theories and engineering principles. To collaborate within the organization, provide data
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calibrating complex electronics. Able to work independently and apply sound judgment. Familiar with equipment design methods and techniques. Proficient in basic computer applications, including spreadsheets
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is to explore and use available data sources to estimate prevalence of key infections (tuberculosis, HIV, hepatitis B virus (HBV) and hepatitis C virus (HCV)) among migrants to high-income countries
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A Research Fellow position is available in the group of Professor M. J. Rosseinsky OBE FRS to work in a team of computer scientists and materials chemists funded by the AlChemy. AI in Chemistry Hub