Sort by
Refine Your Search
-
Listed
-
Category
-
Program
-
Field
-
% superannuation Support high quality professional education programs in public health Contribute to operational excellence within Teaching and Learning Be surrounded by extraordinary ideas - and the people who
-
study program - excluding MON2100 Global Immersion Guarantee. Benefits $3,000 one-off payment. Number offered 20 scholarships available. Selection criteria Awarded based on need. From one or more of
-
background checks required for the role, as determined by the University. Enquiries: Lama Karroum, mpccc-program@monash.edu or 0477 986 816 Position Description: MPCCC Project Coordinator (Molecular Tumour
-
for a place in Monash Minds , a leadership program for first year students Number offered Two scholarships available per year Selection criteria Based on academic achievement, educational disadvantage and
-
We have a range of potential research projects on offer in partnership with VIFM - https://www.vifm.org/ - looking at ML techniques in predicting forensic diagnoses / image analysis, across
-
Optimisation methods, such as mixed integer linear programming, have been very successful at decision-making for more than 50 years. Optimisation algorithms support basically every industry behind
-
Monash University-China Scholarship Council (CSC) Joint Scholarship This joint scholarship program seeks to attract high-achieving Chinese students to undertake their PhD at a Monash campus in
-
inference. PhD Program The project is based in the Centre for Health Economics, a large and active economics research group within the Monash Business School in Melbourne, Australia. As a candidate in the CHE
-
cryptography is not a must. It is also a plus to have some programming experience. Implementation of a PET algorithm: This aspect requires significant programming skills as it involves writing efficient (e.g., C
-
. Required knowledge Strong background in machine/deep learning, computer vision, or applied statistics. Solid programming skills in Python and experience with deep learning frameworks (e.g., PyTorch