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of this project, the theme of sustainable behavior change is central. We are genuinely open and curious to learn how applicants see themselves contributing to this project. We invite you to make a case for how your
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must be registered full-time in one of the eligible graduate programs. For program eligibility and award amount, check your graduate program listing under Graduate Degree Programs (see Tuition / Program
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of Stuart Hall's many areas of interest: cultural studies, race, ethnicity and inequalities. Please note that existing postgraduate research students and applicants for distance learning PhD programmes cannot
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are curiosity-driven especially interested in interdisciplinary research, eager to continuously learn with critical thinking and explore new ideas while collaborating with a team Language Skills: Fluent written
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learning is pursuing the goal to collect activities and information on AI in order to explore and shape the rapidly growing field of AI together and to make it accessible to our students entering the field
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) Stipend www.monash.edu/study/fees-scholarships/scholarships/find-a-scholarship/research-training-program-scholarship#scholarship-details Be inspired, every day Drive your own learning at one of the world’s
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. TO APPLY : Please submit, via: https://academicjobsonline.org/ajo/jobs/29936 Cover letter CV – please list publications (if applicable) Research Statement Three (3) letters of reference are required
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multidisciplinary research in energy markets, optimization, game theory, and machine learning. Our team of 13 members (link ), from 10 different nationalities, values diversity and includes experts from a range of
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, individualized education. Faculty are committed to creating a student-centered learning community that embraces multiple viewpoints. It is a department in which learning, research, and professional activity inform
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government background checks (allow for between 4 to 8 weeks) and complete any other CSIRO requirements. Selection criteria To be eligible applicants must: Have a basic understanding of machine learning