Sort by
Refine Your Search
-
Listed
-
Category
-
Employer
- Monash University
- The University of Newcastle
- Curtin University
- University of Melbourne
- Queensland University of Technology
- Swinburne University of Technology
- Adelaide University
- SWINBURNE UNIVERSITY OF TECHNOLOGY
- University of Southern Queensland
- Charles Sturt University
- Crohn’s & Colitis Australia IBD PhD Scholarship
- Flinders University
- Murdoch University
- National Council of Women of Queensland (NCWQ) Bursary Program
- The University of Queensland
- University of New South Wales
- 6 more »
- « less
-
Field
-
for Mental Health and Brain Sciences, this full-time PhD scholarship is linked to a successful NHMRC Ideas Grant focused on advancing epilepsy surgery eligibility and outcomes through multimodal non-invasive
-
. The research combines robotics, computer vision, artificial intelligence, machine learning, control systems, and medical robotics to solve one of the most challenging problems in modern automation. Project
-
will undergo an interview process. If supported to apply, you will then submit an expression of interest (EOI) following the advice at how to apply for a research degree . In your EOI, nominate Dr
-
PhD Scholarship Opportunity - Processing intelligence for green metals using in situ X-ray characterisation and machine learning Job No.: 693787 Location: Clayton campus Employment Type: Full-time
-
minimum eligibility criteria for admission. In addition to the minimum eligibility criteria, the candidate should possess the below desirable criteria: - Background in computer science, AI, bioinformatics
-
related field. Applicants with prior research experience and/or publications in areas such as cell biology, immunology, vascular biology, neurology, or bioinformatics are strongly encouraged to apply
-
expertise: Bioinformatics experience A PhD student with bioinformatics experience will generate and analyse complex microbiome sequence data to complement existing rumen microbiome datasets. Via multi-omics
-
processing and phase transformation. The candidate will work with experimental datasets from techniques such as electron microscopy, EBSD, X-ray diffraction, X-ray imaging and in situ characterisation
-
are implemented which detect and correct errors using classical processing known as Decoding. However, decoding must be completed at fast speed and large-scale to ensure errors are fixed before they accumulate. In
-
jobs by other users leading to wrong answers. Similar security issues have been detected in the process of quantum error correction or software level compilations. In this project, PhD student will