Sort by
Refine Your Search
-
Category
-
Program
-
Field
-
and multidisciplinary collaboration. Mandatory: PhD or equivalent in chemistry, chemical engineering, materials science, materials engineering or closely related field. Please Note: Appointment to
-
: Make independent and original contributions to research, which have a significant impact in chemistry and materials science, as well as be acknowledged at an international level as being influential in
-
The scholarship will fund a 3 year PhD candidature to work in the Chemistry Department of the School of Science CAMIC Laboratory. The project is a collaboration with Assoc. Prof Ravi Shukla to test
-
communications skills appropriate for interacting with higher degree by research candidates, staff and industry. Qualifications: PhD in physics, chemistry, materials science or related field. Please Note
-
possible In particular, expertise in the following areas will be regarded highly: Biology and Chemistry, Anatomy and Physiology, Neuroscience and Nutrition. Contribute to a culture of quality learning and
-
conferences and publishing in peer-reviewed journals. Prior experience in nerve regeneration or tissue engineering research is highly desirable. Preferrable: PhD in Materials Science, Biomedical Engineering
-
, professional, timely service. The incumbent will be required to work effectively across all levels of the organisation, developing productive working relationships with but not limited to the STEM schools
-
Waste Heat is a huge challenge in the global energy transition. We are developing new materials and system to enhance the conversion of heat to electricity. Using Advanced Materials we
-
) scholarship available One (1) scholarship available To be considered for the PhD Scholarship, applicants must hold or be currently completing: a Master by research, or a Master by coursework with a significant
-
The PhD candidate will gain intensive knowledge in innovative processing protocols for chemical sensing and to develop data acquisition system with the Machine Learning (ML) and/or Deep Learning (DL