-
science or engineering Strong computer science skills and some experience with statistical, machine learning, and image processing techniques Strong candidates with electrical, mechanical, and biomedical engineering
-
contribute towards SDG 4, 8, and 11. Our expected outcomes would be a white paper with a framework and a prototype that can be used as a guideline for the next generation educational technology platforms based
-
very high resolution, suitable for detecting photovoltaic modules and the cleanliness of solar panels. These images and other data can be processed by computer vision and machine learning methods
-
PhD Scholarship in Integrated Photonics for Telecommunication, Biosensing and Precision Measurements
for highly motivated and passionate PhD students to become part of our team. You will work with centre members from diverse research backgrounds in the disciplines of engineering, physics, chemistry and
-
of offer for the program if all conditions have been satisfied. Locations Primary location of student: Royal Melbourne Institute of Technology, 124 La Trobe Street, Melbourne VIC 3000 Industry