160 programming-"Multiple"-"Humboldt-Stiftung-Foundation"-"Prof"-"O.P"-"U" "U.S" PhD positions in Australia
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and hands-on experience with AI and computer vision. Solid programming skills in Python, especially with PyTorch. Practical experience with deep learning projects, including working with attention
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What you'll receive You'll receive a QUT Postgraduate Research Award (QUTPRA) or Research Training Program (RTP) scholarship of $33,637, full-time, tax exempt and indexed annually, for a period of
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Cohort Studies Research Support Program (2024) to undertake a program of work into dementia risk prediction and reduction in WA and nationally. We have secured funds to engage with a design team to develop
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Creative arts Design Engineering English language and pathway programs Health Information technology and games Justice Languages Law Mathematics and data science Science Teaching Explore Mid-year entry QUT
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for this project. The supervisors have contacts with multiple potential internship organisations, depending on the student interests. Student type Future Students Faculties and centres Faculty of Health Sciences
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in the design, implementation, evaluation and dissemination of quality integrated health promotion programs. Located within CERIPH, the Drowning Prevention Evidence and Evaluation Project (DEEP) works
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Doctoral Program or as part of a Joint Research Award. The Monash Doctoral Program enhances your research project with advanced training that equips you with the knowledge, skills and abilities needed
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neuroscience principles are desirable. Must be eligible to enrol in PhD programs at Curtin. Application process Please send your CV, academic transcripts and brief rationale why you want to join this research
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, programming, algorithms, and data analysis skills Outstanding research skills Applicants with Master degrees by research with technical publications and research experiences in structural dynamics and
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considered in the current models. whether there are common points in multiple models. This will identify potentially critical points for new models. identify upstream and downstream points not previously