Sort by
Refine Your Search
-
Listed
-
Country
-
Employer
- DAAD
- The University of Auckland
- Curtin University
- University of Antwerp
- RMIT University
- University of Alaska
- La Trobe University
- Queensland University of Technology
- University of Adelaide
- Lincoln University
- Monash University
- Princeton University
- University of British Columbia
- University of Greenwich
- University of Michigan
- 5 more »
- « less
-
Field
-
Masters of Artificial Intelligence and Machine Learning COMP SCI 7205A - Artificial Intelligence and Machine Learning Research Project A in Trimester 3, 2025 AND COMP SCI 7205B - Artificial
-
The Australian Institute for Machine Learning (AIML) offers new supplementary scholarship opportunities for Master's students in Machine Learning. These scholarships support students undertaking
-
computer science Have experience in Applied Machine Learning and AI Only applicants who currently reside in Australia are eligible to apply Application process To express your interest to be involved with
-
first-generation college attendees, both traditional and non-traditional students, military students and those seeking job training. Reporting to the UAF Vice Chancellor of Rural, Community and Native
-
Department: Molecular Imaging – Pathology – Radiotherapy – Oncology Regime Full-time Let’s shape the future - University of Antwerp The University of Antwerp is a dynamic, forward-thinking
-
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
-
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
-
an essential role in normal cognitive function including in memory formation, learning, pattern separation and mood regulation. Adult neurogenesis is vital for brain repair following traumatic brain injury and
-
processes and methods Experience disseminating research using public-facing outlets and approaches Demonstrated ability to work independently Modes of Work Hybrid: The work requirements allow both onsite and
-
to build inclusive capacity in all areas of cancer research, while fostering interdisciplinary learning, knowledge translation, mentorship, and engagement opportunities. Recognizing that underserved