339 cloud-computing-"https:" "https:" "https:" "https:" "https:" "https:" "St" "University of St" uni jobs at Monash University
Sort by
Refine Your Search
-
Listed
-
Field
-
Senior Program Coordinator Job No.: 687380 Location: Clayton campus Employment Type: Full-time Duration: Continuing appointment Remuneration: $106,789 - $117,128 pa HEW Level 07 (plus 17% employer
-
. For more information on the work we do, please visit our website: http://www.monash.edu/vpfinance The Opportunity The Strategic Sourcing Manager position is an important role that drives the development and
-
Senior Administrative Coordinator, UCAT ANZ Program Job No.: 686950 Location: Clayton campus Employment Type: Part-time, fraction (0.4) Duration: 3-year fixed-term appointment Remuneration: Pro-rata
-
package should be prioritised are surprisingly difficult computational tasks. State-of-the-art high-performance algorithms are used to calculate routes for the vehicles in order to minimise costs and
-
Lecturer/ Senior Lecturer - Electrical and Computer Systems Engineering Job No.: 688022 Location: Clayton campus Employment Type: Full-time Duration: Continuing appointment Remuneration: $114,951
-
Indigenous Graduate Program Manager Job No.: 687292 Location: Clayton campus Employment Type: Full-time Duration: Continuing appointment Remuneration: $120,138 - $132,610 pa HEW Level 08 (plus 17
-
. The result will be a thesis in the field of interaction design, contributing to our understanding of experiencing the human body as play. For more info see http://exertiongameslab.org
-
Gained: Students will study sustainability in computing, including integrating AI with real-time energy data and carbon monitoring, contributing to low-impact, sustainable cloud operations. Distributed
-
Hoven (elisevandenhoven.com). See also our dedicated post about this on our website. For more information see http://exertiongameslab.org The result will be a thesis in the field of interaction design.
-
analysis, or multi-omics integration, with strong competence in deep learning frameworks (e.g., PyTorch/TensorFlow) and data engineering for reproducible research. Familiarity with cloud/HPC workflows