597 computational-physics-"https:"-"https:"-"https:"-"https:"-"Dr" positions at Monash University
Sort by
Refine Your Search
-
Listed
-
Category
-
Program
-
Field
-
addictive studies Be surrounded by extraordinary ideas shaping the future of online education The Opportunity We are seeking to appoint an Assistant Lecturer to join the Graduate Program of Addictive
-
, for instance, utilise conversational agents, computer vision, mixed reality, wearables etc. Disability, Technology, and Society: Research with a sociological or anthropological focus on the use of bespoke and/or
-
to the School of Nursing and Midwifery at the time of your application to undertake the honours degree. Every scholarship may have a different application process – or none at all. Read the application details
-
to apply No application required, all eligible students will be automatically assessed. Every scholarship may have a different application process – or none at all. Read the application details carefully and
-
different application process – or none at all. Read the application details carefully and submit your application by the deadline. For more details, visit our scholarships application page. Apply direct
-
to apply This scholarship cannot be deferred. Every scholarship may have a different application process – or none at all. Read the application details carefully and submit your application by the deadline
-
an inclusive and accessible recruitment process at Monash. If you need any reasonable adjustments, please contact us at hr-recruitment@monash.edu in an email titled 'Reasonable Adjustments Request' for a
-
and personal commitments. This includes supporting parents . To Apply Monash University is being assisted in this appointment process by the executive search firm Perrett Laver. If you would like
-
. This scholarship cannot be deferred. Every scholarship may have a different application process – or none at all. Read the application details carefully and submit your application by the deadline. For more details
-
cutting-edge AI methodologies, focusing on combining data-driven approaches with physics-informed models to tackle challenges in MRI reconstruction. By integrating MRI acquisition physics directly into