83 postdoctoral-image-processing-in-computer-science-"DIFFER" PhD positions at Curtin University in Australia
Sort by
Refine Your Search
-
, Biotechnology, Geochemistry, Geology, Chemistry or related fields Prior publications in good quality journals are desirable Application process Current Student Please submit an expression of interest to Dr
-
an innovative and environmentally sustainable process of copper extraction from concentrates leaching using different glycine leaching systems. The expected outcomes from this project are not limited
-
publications and research experiences in structural dynamics and structural health monitoring, especially on computer vision, image processing, machine learning, deep learning, signal processing and data
-
deep learning, imaging and data analysis would be helpful for this project. Must be eligible to enrol in PhD programs at Curtin University. Application process Please send your CV, academic transcripts
-
models for structural health monitoring of civil engineering structures. Digital twin models are used to interpret real time information from videos and images aided by computer vision techniques
-
trait comprised of a set of emotion processing deficits: difficulties identifying one's own feelings, difficulties describing feelings, and an externally oriented thinking style whereby one rarely focuses
-
brings together an industry partner, a university and Australia’s leading science agency, CSIRO, to co-develop a four-year industry-focused PhD project. The program supports a three-way partnership aiming
-
the capacity to undertake significant research. At least the degree should demonstrate completion of food chemistry, processing, engineering or related units. Additionally, applicants with food industry
-
courses Participation in this program is open to health professionals to pursue a Doctor of Philosophy (PhD) in health and medical sciences. Eligibility criteria The Activity Lead must: have secured
-
structural health monitoring, especially on computer vision, image processing, machine learning, deep learning, signal processing and data analysis techniques, are preferred. Application process To apply