Sort by
Refine Your Search
-
conduct cutting-edge research on AI-based drone systems. Preference will be given to individuals with bachelor's and/or master's degrees in computer science, mechatronics, or a closely related field with
-
individuals with extensive clinical trial experience to build a portfolio of clinical trials in the oncology area of: Phase 1 solid tumour or Breast and genitourinary oncology As the program manager, you will
-
, computer access and databases) Access to employee flu shot program How to apply Click APPLY, include a short cover letter along with your resume outlining your experience. Please contact Sean Galvin (School
-
PRIMARY DETAIL • Exceptional development opportunity working with world class researchers • Build your academic networks and access cutting-edge facilities and technology • A diverse and
-
Computer Science or related area of Computational Sciences, Neuroscience, or Engineering; Good track record of research evidence by publications and presentations at international conferences; Experience with audio
-
externally to achieve learning program objectives in a fast-paced setting. About Us The Clinical Trials Unit (CTU) is part of the Faculty of Medicine, Health and Human Sciences (FMHHS) at Macquarie University
-
Benefits Ongoing development and mentoring opportunities Access to our staff wellbeing program and staff support services Working on a vibrant parkland campus Complimentary Macquarie University Sport
-
) is part of the Faculty of Medicine, Health and Human Sciences (FMHHS) at Macquarie University. FMHHS also has the Macquarie Medical School, the Macquarie University Private Hospital, and runs patient
-
interests and achievements. Essential A PhD or equivalent degree in plasma physics/high energy density science/computational science. Experience in computational plasma physics particularly focused on dense
-
-dimensional data challenges. Our research combines applied statistics and statistical theory to offer novel statistics methodology and computational technology for evidence-based science discovery