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Health (PhD) Preventing ovarian cancer: Human vs. machine intelligence Katrina Bergmann Doctor of Philosophy in Chemistry (PhD) Using conventional computations and quantum simulations to accelerate the in
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in Mechanical Engineering (PhD) Dendrite inhibition strategy using hetero-epitaxy in thin film deposition mechanics Isaiah Betinol Doctor of Philosophy in Chemistry (PhD) Statistical Models and Machine
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Electrical & Computer Engineering, East Tennessee State University, and the Ludwig Maximilian University of Munich. Completion of a research-based master’s degree is required prior to commencing the PhD
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the following fields: Computer Architecture Algorithms and Optimization Health Research Human-Computer Interaction Machine Learning and ML Foundations Machine Perception Natural Language Processing (including
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environment. Adaptability and a proactive approach to learning new skills and techniques related to Statistical Machine Learning. Education: PhD degree in Mechanical Engineering, Structural Mechanics, Computer
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Application Restrictions Job Type Open Learning Curriculum Development Closing Application Date 28/4/2025 Applications will be reviewed commencing the closing application date and may continue until
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curriculum standards and learning objectives. • Collaborate with faculty members and industry professionals to ensure course content is relevant and up to date. • Utilize various
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Vision conferences, CVPR, ICCV, ECCV and peer reviewed journals. Minimum Qualifications: PhD in Computer Science or a related field obtained within the last five years. Strong skills in machine learning
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have an earned PhD in Electrical and Computer Engineering or a related discipline at the time of appointment. Successful candidates are expected to lead an independent research program of international
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salary, inclusive of a generous benefits package, eligible leaves and pension plan. Requirements Applicants must have an earned PhD in Electrical and Computer Engineering or a related discipline at the