-
Associate position who has: a PhD (or near completion) in a relevant field background/skills in point cloud deep learning and/or 3D deep learning from images proven ability to conduct high quality research
-
Full time, 3 Year Fixed Term Contract position for a Postdoctoral Research Associate in Neurosciences Two exciting opportunities for PhD graduates at the School of Medical Sciences Academic level A
-
of Medical Sciences Exciting opportunity for a PhD graduate (or about to graduate) in Biochemistry or Neuroscience or Analytical Chemistry Academic level A + 17% superannuation About the opportunity The School
-
skills to contribute effectively to the research efforts of CHeBA and UNSW. Skills Required: A PhD in Neuroimaging, Data science, Engineering, or a related field or a recently submitted PhD thesis with
-
), psychophysical methods, computational neuroscience methods, machine learning and modelling. Our studies utilise various haptic devices, and mechanical and electrical stimulators. Key skills required: PhD
-
, electrolyser engineering, and green hydrogen production. You will be given the opportunity to work collaboratively with a motivated team of early career researchers and PhDs on water electrolysis. Within
-
collaboratively with a motivated team of early career researchers and PhDs on water electrolysis. Within the team, you will be given the opportunity to expand your research skills and experience and to grow in your
-
collaborative team. Preference will be given to applicants with experience working with patients with voice disorders and a PhD in assessment and/or treatment of voice disorders. Your responsibilities will be
-
-reviewed journals, presentations at conferences, and engagement with stakeholders and policymakers About you PhD in epidemiology, public health, implementation science, or related field. strong background in
-
in Deep Learning Theory who has: a PhD in mathematics, applied mathematics, data science, or a related area an excellent track record of publishing high-quality papers on deep learning theory, machine