283 parallel-programming-"Multiple"-"Simons-Foundation"-"EURAXESS"-"Humboldt-Stiftung-Foundation" positions at Monash University in Australia
Sort by
Refine Your Search
-
Listed
-
Category
-
Program
-
Field
-
Industry Innovation Program Scholarship The Embedded Co-Op Scholarship funded by an Industry Partner via the corresponding Faculty be introduced to allow industry and students to directly interact
-
the ability to plan, organise, manage multiple tasks and meet deadlines, and Have analytical thinking, data analysis and critical problem-solving skills How to Apply Please complete the Expression of
-
for Health Economics is seeking a Level A Research Fellow to play a key role in an ongoing research program examining the effectiveness and cost-effectiveness of behavioural interventions, with a particular
-
Centre for Health Economics, Monash Business School, PhD Program 2025 Job no.: 625101 Location: Caulfield campus Duration: 4.5-year fixed-term appointment Employment type: Full-time Remuneration
-
Global Scholars Program Grant The Global Scholars Program Grant is available to students enrolled in the Bachelor of Global Studies to help support the overseas study requirement of the course
-
". A number of emerging approaches, such as zero resource and unsupervised NMT, have investigated alternative methods in developing NMT models where sufficient parallel corpora are not available (eg [1,2
-
Automated Program Repair (APR) is the grand challenge in software engineering research. Many APR methods have shown promising results in fixing bugs with minimal, or even no human intervention
-
Research Training Program (RTP) Stipend Research Training Program (RTP) Scholarships, funded by the Australian Government, support both domestic and international students undertaking Research
-
Mixed-Integer Programming (MIP) solvers are very powerful tools to solve combinatorial problems that arise in many industries. Modern MIP solvers usually run a sequence of algorithms to solve
-
technologies will affect them. It is our anticipation that the work will commence with, in parallel, the survey for collecting the data and a comparison of machine learning methods on artificial pseudo-randomly