358 computer-programmer-"Prof"-"Washington-University-in-St"-"Prof" positions at Monash University
Sort by
Refine Your Search
-
Listed
-
Category
-
Program
-
Field
-
Master of Commerce Scholarship Sir John Monash Fee Scholarship The Master of Commerce is a research-oriented programme preparing students for a PhD and an academic career. Offered as part of
-
and evaluate our approaches on a range of computational sustainability case studies from the domain of conservation of biodiversity, natural resource management and behavioural ecology. Relevant
-
resident Australian humanitarian visa holder You must meet the following criteria: A student commencing a Mathematical Sciences Honours Program in the Faculty of Science at a Monash campus in Australia. Must
-
Australian permanent resident Australian humanitarian visa holder You must meet the following criteria: A student commencing a Botanical Sciences Honours Program in the Faculty of Science at a Monash campus in
-
The United Nations Development Programme has identified access to information as an essential element to support poverty eradication. People living in poverty are often unable to access information
-
of our core systems, which support both advanced research computing and critical enterprise services. You will be responsible for the full lifecycle management of vanilla Kubernetes clusters, including
-
Scholars Program or Bachelor of Pharmacy (Honours)/Master of Pharmacy Scholars Program. No application is necessary. You will be automatically assessed when you make your course application through VTAC
-
Lecturer - Learning Design and Technology Job No.: 680408 Location: Clayton campus Employment Type: Full-time Duration: Continuing appointment Remuneration: $118,974 – $141,283 pa Level B (plus 17% employer superannuation) Amplify your impact at a world top 50 University Join our inclusive,...
-
knowledge program analysis, fuzzing, software testing, natural language processing
-
analysis, contextual analysis, audio feature extraction, and machine learning models to identify and assess potentially dangerous content. Similarly, computer vision models are implemented to analyse images