153 big-data-and-machine-learning-phd positions at Swinburne University of Technology
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to the camera about your views on the same topic. Get ready to bring your ideas to life! Consider these pointers for your essay and video: Dive into how AI, machine learning, and automation jazz up moving
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learning formats, online teaching, the use of a variety of visual and digital/innovative formats · Advanced knowledge in Nursing · Demonstrated academic leadership ability Further information
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We are no longer accepting applications for the SSHRC Doctoral Fellowships. Please refer to the Canada Graduate Research Scholarship—Doctoral program webpage for information regarding the new
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and social activities throughout the program. Don't miss out! For more information, please contact your University Representative or AINSE administration . “A valuable experience for young women
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: Vocational experience relevant to the community services sector. Demonstrated ability to implement high quality innovative teaching and learning programs in a variety of learning modes which respond to a
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experience delivering innovative and engaging teaching across varied learning modes. A commitment to inclusive and customised learning environments, with a focus on student success and support. Demonstrated
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accountabilities: Demonstrated ability to implement high quality innovative teaching and learning programs in a variety of learning modes which respond to a diverse range of student and client needs. Demonstrated
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the program. Don't miss out! For more information, and to apply, please contact your University Councillor or AINSE administration . “Absolutely amazing. I would do it again in a heartbeat.” “Meeting like
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and Prof Kath Hulse (Swinburne). This PhD project will analyse the role and mechanisms of social communication, learning and social networks in fostering sustainable and energy efficient household
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for information on your study options. Step 2 Review your eligibility to determine whether your chosen Swinburne course meets the criteria. If you wish to undertake research as part of a master degree or PhD