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Field
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demonstrated expertise in game-based learning, online teaching, and instructional design, as these are key focus areas of teaching for this role. Candidates will have opportunities to serve on Master’s and PhD
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& Field program; recruits student athletes and determines scholarship value; provides instruction, demonstration, evaluation, and theory of the sport to ensure individual athletes and the team attain
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& Field program; recruits student athletes and determines scholarship value; provides instruction, demonstration, evaluation, and theory of the sport to ensure individual athletes and the team attain
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Aalto University is where science and art meet technology and business. We shape a sustainable future by making research breakthroughs in and across our disciplines, sparking the game changers
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networking and IoT infrastructure, and enhance security and privacy. Foundations of AI: areas of interest include machine learning, LLMs and SLMs, natural language processing, computer vision, theory, and
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to substantially advance the theory and practice of agent-based modelling. The project will involve some theory, programming, and systematic experimentation – the precise focus will depend on the expertise and
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candidate is a visionary scholar whose interdisciplinary teaching and research intersect areas such as media studies, game studies, essay writing, literature, digital culture, and cultural policy
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Processes STATISTICS 151A: Linear Modeling: Theory and Applications STATISTICS 153: Time Series STATISTICS 154: Modern Statistical Prediction and Machine Learning STATISTICS 155: Game Theory STATISTICS 159
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/Practice at the rank of Assistant Professor (tenure track). We are open to a wide array of specializations within critical digital studies, including, but not limited to, the areas of gaming, interactive and
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theories for planning, organizing, and managing a sport program in educational settings. Examples of youth sport programs include hockey, track and field, lacrosse, volleyball, basketball, etc. This is a