117 parallel-and-distributed-computing-phd positions at University of Adelaide in Australia
Sort by
Refine Your Search
-
Listed
-
Category
-
Program
-
Field
-
The Adelaide Graduate Research School is partnering with the Department for Environment and Water to provide various research internship opportunities for our PhD students. The Department
-
combatting wildlife trafficking and environmental harm. ESSENTIAL MINIMUM CRITERIA PhD in a relevant discipline such as computer science, data science, digital forensics, cyber security or a related field with
-
: A PhD in Mathematics, Computer Science, Engineering or other Machine Learning-related field. Programming experience in MATLAB, Python, C++ or other relevant language and experience in deep neural
-
you will need: 1. A completed PhD or a submitted PhD thesis in either computer science, mathematics, computer/software engineering, electrical or electronic engineering, mechanical/mechatronic
-
software used to test and evaluate telescope performance during commissioning. The position will also require a strong commitment to developing an innovative research program in high-energy gamma-ray
-
Value The HDA and CRF PhD Excellence Award are $5,000 per annum for up to 3 years only to augment an Australian Government Research Training Program (RTP) Stipend Scholarship or equivalent
-
applications to manage ecosystem data. The role will work very closely with other TERN members distributed across the country and to solve technical challenges and mentor junior staff as and when required. TERN
-
with disability. Key requirements A commitment to ongoing learning, demonstrated by a PhD, in a relevant discipline, with advanced foundational discipline-based research and a record of achievement
-
you will need: A PhD in Forensic Science, Electrical Engineering, Computer Science, Data Science, Criminology or related area (or near completion). A record of high-quality research outputs, including
-
. The successful applicant will work on decision making for anomaly detection, behaviour analysis and surveillance decisions, under the direction of A/Prof Claudia Szabo in the School of Computer and Mathematical