26 assistant-professor-and-health-informatics PhD positions at University of Adelaide
Sort by
Refine Your Search
-
Hicks PhD Scholarship in Public Health Policy was established with funds donated by Dr Hicks and initiated with the kind assistance of Dr Hicks’s daughter, Alison Greenslade, and his partner, Pamela Ball
-
These scholarships are funded by the Australian Research Council (3) and the University of Adelaide (1) to support 4 full-time PhD students who are undertaking research in the field of battery recycling: Project 1 (2 PhD students): Cost-Efficient Direct Recycling for Metal Oxide Cathode...
-
to be tax exempt, subject to Taxation Office approval. Enquiries: Contacts: Associate Professor Jianfeng Mao and Dr Jingxiu Wang School of Chemical Engineering / Discipline of Materials Engineering
-
countries to customers such as global government, business and corporate, NGOs, aid and humanitarian organisations, security and military groups, public safety, emergency response, broadcast and consumer
-
, contributing to ground-breaking discoveries with real-world implications for cancer patients. To be successful you will need: A PhD in (awarded or near completion) in Computational Biology, Computer Science
-
is pioneering the development of a SaaS platform based at LotFourteen that leverages AI to help homeowners find the best balance in design and material selection for building resilient homes
-
University of Adelaide. Applicants should have a background in health or medical sciences, with an understanding of variations in the healthcare system across Australia. The ideal candidate should have some
-
will aim to develop novel tools to aid surgical fixation or predict complications and outcomes. Each PhD student will be expected to develop innovative solutions to the problem and publish approx. 3-4
-
approval. Enquiries: Contact Person: Associate Professor Luke Mosley School/Discipline of: Agriculture, Food and Wine Tel: (08) 8313 5453 Email: luke.mosley@adelaide.edu.au Applications
-
demonstrate suitable experience in computer science, machine learning, robotic vision, or a related field (through a high-quality Honours or Masters degree). The successful candidate must be able to enrol as a