104 parallel-computing-numerical-methods-"Simons-Foundation" positions at University of Adelaide in Australia
Sort by
Refine Your Search
-
Listed
-
Category
-
Program
-
Field
-
prevention. The successful candidate will join the Wildlife Crime Research Hub and work as part of the ARC Industry Laureate Fellowship program, Combatting Wildlife Crime and Preventing Environmental Harm
-
government and industries in South Australia, and overseeing Centre performance. The appointee will also be supported to establish and build a dynamic research program in machine learning or artificial
-
on the socio-cultural history of the Greek and Roman worlds. The eight-course major offers introductory topics in archaeological and historical methods, Classical and Australian archaeology, laboratory
-
to developing research protocols, preparing manuscripts, and analysing data using statistical methods, turning results into meaningful insights. You’ll also have the chance to present findings through reports and
-
the responsibility for the big shift to decarbonisation. We have the scale to make a difference and seek new, low-carbon technologies and methods that will overcome barriers and help transition the steel, iron
-
to manufacture advanced fertilisers. The project will include development of flowchem synthesis core-shell bio-mineral fertilisers methods. Fertilisers to be tested include leached regolith minerals. A
-
equivalent, with expertise in nuclear and/or maritime engineering Demonstrated research ability that supports the School's research strengths hydroacoustics, modelling and computation, numerical and
-
actions working on causal AI for a changing world. The AIML at the University of Adelaide is the largest computer vision and machine learning research group in Australia with over 180 members including
-
- from enrolment through to the awarding of the degree - in line with Program Rules, established guidelines, and procedures. The Adelaide Graduate Research School (AGRS) sits within the Division
-
experience in machine learning research and development, particularly with a specialisation in such areas as: digital forensics, computer vision, biometrics (face or voice recognition, etc.) and natural