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9 May 2024 Job Information Organisation/Company Nagoya Institute of Technology Research Field Technology Engineering Computer science Information science Researcher Profile Recognised Researcher (R2
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include experience in scientific programming and data computing, signal processing, statistical analysis. Knowledge of mathematical methods and numerical analysis are an asset. The candidate will be asked
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. Candidates will require a PhD or Master's degree in a relevant subject (e.g., Computer Science, Artificial Intelligence, Machine Learning, Mathematics, Physics, Marine Technology) as well as academic
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University of Toronto | Downtown Toronto University of Toronto Harbord, Ontario | Canada | about 10 hours ago
their professional development as teachers, and provides consultations, resources and technology support to enhance learning in their courses and programs. CTL also enhances academic skill development both within and
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the proportion of women in senior academic and administrative roles and in Science, Technology, Engineering, Mathematics and Medicine (STEMM). Please do not select the “APPLY” button. All expressions of interest
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backgrounds to apply. Griffith's strategic goals are to also increase the proportion of women in senior academic and administrative roles and in Science, Technology, Engineering, Mathematics and Medicine (STEMM
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and administrative roles and in Science, Technology, Engineering, Mathematics and Medicine (STEMM). For project related enquiries please contact: For project related enquiries please contact: Professor
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of Humanities Faculty of Science & Engineering Science courses Engineering courses Western Australian School of Mines (WASM) Course type Undergraduate Postgraduate coursework Specifically for Aboriginal/Torres
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mathematical models and geometric optimization algorithms, leveraging AI and genetic algorithms to enhance sensor integration efficiency. Tasks include validating these models and algorithms against various
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from a recognized post-secondary institution with acceptable specialization in economics, statistics, mathematics, data science, administration, finance, engineering, science or a related field. Asset