388 computer-programmer-"the"-"IMPRS-ML"-"IMPRS-ML"-"U" positions at Monash University
Sort by
Refine Your Search
-
Listed
-
Category
-
Program
-
Field
-
largely opaque to computational analysis, into a transparent phenomenon from which selected features can be captured and rendered visible for the purposes of professional development for teachers. Depending
-
Alfred Research Alliance Honours Scholarship Sir John Monash Scholarship for Distinction The Alfred Research Alliance Honours Scholarship is for students studying an Honours program on the Alfred
-
background mathematical knowledge, including differential calculus (e.g., partial derivatives) and matrix determinants. The student should also know how to program with either Matlab, Java, or Python. Ideally
-
project execution Collaborate with stakeholders to plan deliverables, monitor progress, and implement management strategies Undertake research, analyse data, and present findings to support project goals
-
meetings and related processes, and undertake initial and ongoing training and education Demonstrate effective communication and interpersonal skills, as well as computer skills Be able to read, interpret
-
. Benefits 100% course fees paid until the minimum number of points for your degree are completed (excludes OSHC, accommodation and living costs). Participation in the Campus Ambassador Program from your
-
diverse learning experience within the JD program. Applications See below Total scholarship value Tuition fees paid Number offered Variable See details Dylan Thomas Glatz Monash Juris Doctor Law Dean's
-
Monash Minds Leadership program, instead of having to find a part-time job. Am I eligible? You must be one of the following: An Australian citizen A New Zealand citizen Australian permanent resident
-
. The financial support it provides has allowed me to take part in extracurricular activities such as the Monash Minds Leadership program, instead of having to find a part-time job. Am I eligible? You must be one
-
tasks across the colony very effectively and flexibly without any central master plan, which at least partly explains their enormous ecological success. We investigate how self-organised task allocation