522 computational-physics-"https:"-"https:"-"https:"-"https:"-"U.S" positions at Monash University in Australia
Sort by
Refine Your Search
-
Listed
-
Category
-
Program
-
Field
-
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
-
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
-
Program Officer Job No.: 686768 Location: Melbourne CBD Employment Type: Full-time Duration: 2 year fixed-term appointment Remuneration: $83,424 - $95,825 pa HEW Level 05 (plus 17% employer
-
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
-
Senior AI Research Computing Engineer Job No.: 686114 Location: Clayton campus Employment Type: Full-time Duration: 3 year fixed-term appointment Remuneration: $140,157 - $148,769 pa HEW Level 09
-
School Integrated PhD Program page. Applications Applications follow the Integrated PhD program application process outlined on the Monash Business School website. Before applying, prospective applicants
-
, neuroscience, physics or a closely related discipline, supported by demonstrated experience in computational modelling, neuroimaging or signal processing. Strong analytical and writing skills, along with
-
Please follow the 3-step application process here . Application dates for the commencement of the Integrated PhD program in July 2026: Applications open: 1 December 2025 Applications close: 1 February 2026
-
find some of our publications here: https://i.giwebb.com/research/computational-biology/ Required knowledge A solid grounding in artificial intelligence and machine learning. Learn more about minimum
-
cooperating with each other, but in many cases competing for individual gains. This structure may not always work for the benefit of science. The purpose of this project is to use game theory and computational