359 computer-programmer-"Multiple"-"U"-"U.S"-"Prof"-"Prof"-"O"-"St" positions at Monash University in Australia
Sort by
Refine Your Search
-
Listed
-
Category
-
Program
-
Field
-
accreditation standards is essential, along with strategic leadership in the HDR program to attract and guide exceptional research students. In addition, the successful candidate will provide strategic and
-
Minds , a leadership program for first year students. Number offered One scholarship available per year Selection criteria Based on academic achievement and need. Preference will be give for a student
-
to reason with more than just and-gates, not-gates and or-gates! For example, we now have non-classical logics which capture notions such as “phi is true until psi becomes true”; “if we execute atomic program
-
-term appointment Remuneration: The successful applicant will receive a tax-free stipend, at the current value of $36,063 per annum 2025 full-time rate, as per the Monash Research Training Program (RTP
-
, Discovery and Access and key stakeholders to connect with communities across and outside Monash University to progress the aims of the Monash Reconciliation Action Plan, Monash Strategic Plan and the Library
-
be principally engaged in program design, development and delivery (including teaching and assessment) that responds to industry needs. As the successful candidate you will be responsible
-
the possibility of renewal. A commitment to attending 8 meetings per year, plus additional follow-up reviews and training sessions. What you bring Effective interpersonal and computer skills. Ability to read large
-
classification by MML - the Snob program . Proc. 7th Australian Joint Conf. on Artificial Intelligence , UNE, Armidale, Australia, November 1994, pp37-44 Wallace, C.S. and D.L. Dowe (1999a). Minimum Message Length
-
Australian Energy Market Operator (AEMO) launched the Zema Energy Studies Scholarship in March 2019, a world-class PhD program to develop the nation’s future energy leaders. The Zema Scholarship aims to create
-
the area of end-to-end modular autonomous driving using computer vison and deep learning methods. This includes developing an efficient and interpretable image processing, vision-based perception and