Sort by
Refine Your Search
-
Employer
-
Field
-
Intelligence and Machine Learning Research Project B in Trimester 1, 2026 Master of Data Science MATHS 7097A - Data Science Research Project Part A in Trimester 3, 2025 AND MATHS 7097B - Data Science Research
-
The Australian Institute for Machine Learning (AIML) offers new supplementary scholarship opportunities for Master's students in Machine Learning. These scholarships support students undertaking
-
research and experimental work in the fields of sensor networks, biomedical engineering and machine learning with focus on: Utilisation of Inertial Measurement Units (IMUs) in human movement including data
-
offering solutions to complex problems and creating new possibilities. At La Trobe, our students gain essential skills in programming, data analysis, and machine learning, equipping them to shape the future
-
years of full-time study in the following engineering disciplines or computer science, awarded with honours: Mechanical, Mechatronics, Electronics or Computer Engineering b) Meet participating university
-
scholarships provide tuition fees for a period of four years for PhD candidates and two years for Masters by Research candidates. The cost of Overseas Student Health Cover (OSHC) for the duration of your visa
-
/ Phd qualification). These scholarships are not applicable to recipients of other scholarships from other countries or other scholarship providers *Minimum academic requirements to be considered
-
sponges, optimising the product at a large scale, improving the filtration process, conducting system characterisation and preparing research papers for publication. Developing materials that are highly
-
includes an extension of up to 3 months if approved for your candidature. This is the full-time, tax-exempt rate which will index annually. Ideally, you would articulate from an MPhil to a PhD after one year
-
Status: Open Applications open: 15/05/2024 Applications accepted at any time View printable version [.pdf] About this scholarship Description/Applicant information Unpinning “the role of microbes in