Sort by
Refine Your Search
-
Listed
-
Employer
-
Field
-
opportunities to supervise PhD students, mentor junior researchers, and collaborate across academia, industry, and the profession, this role offers the chance to grow your research career in a supportive and
-
disease patients using radiation therapy. The primary aim of this research is to develop real-time target tracking and/or dynamic imaging algorithms for implementation within radiotherapy and medical
-
the agro-industrial sector will be valued). Completed a PhD in any area related to regulation, social science, and/or geography, broadly defined, including humanities and social sciences; Advanced
-
and screening. There are different research projects available, depending on the skills and experience of the candidate. We are interested in applicants with a PhD, with a strong research track record
-
for – Selection Criteria: Essential: A PhD in remote sensing, geoinformatics, computer vision, or a related discipline. Demonstrated expertise in hyperspectral remote sensing, including pre-processing (e.g
-
process. About You Completion or near completion of a PhD in neuroscience, computer science, data science or relevant related field. An emerging profile in research in the discipline area. Demonstrated
-
! Key responsibilities will include: Research: Support large-scale cognitive neuroscience research on brain stimulation, imaging, neurofeedback and neuropharmacology; develop a coherent research program
-
: Level A academic appointment - from $109,272 to $117,108 p.a. (Steps 6–8, PhD awarded rate) • Appointment Type: Full-time, fixed-term position for 1 year (with possibility of extension) • Location
-
or controlled environments, and an understanding of grain processing and grain quality. Familiarity with the Narrabri region of northern NSW would be an advantage as the appointee will be expected to conduct
-
modelling who has: a PhD in power and energy systems, process systems engineering, industrial decarbonisation, energy economics, or a related discipline demonstrated expertise in energy systems modelling