264 parallel-programming-"Multiple"-"Simons-Foundation" positions at Monash University in Australia
Sort by
Refine Your Search
-
Listed
-
Category
-
Program
-
Field
-
The ARC SRIEAS Securing Antarctica’s Environmental Future (SAEF) program is a leading international research initiative from the Faculty of Science focused on forecasting and addressing environmental change
-
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
-
for metabolic acidosis in critically ill ICU patients You will be responsible for managing trial operations across multiple clinical sites, maintaining study documentation, facilitating ethics submissions
-
distribution across multiple HSR scenarios. You will work alongside a team of internationally renowned experts in transport and urban planning, including Associate Professor Liton Kamruzzaman, Professor Hai Vu
-
organisation. The ability to manage shifting priorities, coordinate multiple stakeholders and produce high-quality written material is also essential. This is a position with purpose, influence and momentum
-
, collaborative community Be surrounded by extraordinary ideas - and the people who discover them Multiple roles, evaluation, quantitative research experience The Opportunity The Institute for Safety Compensation
-
to detect anomalies in evolving data. Some of them consider scenarios where streaming objects with one or multiple features have causal/non-causal relationships with each other which can be represented as
-
common purpose. Underpinning your approach are your intellectual capacity and creative growth mindset, stamina and agility to manage multiple priorities. Your experience may span higher education or other
-
analyse and harmonise large-scale claims, service and payment data across multiple jurisdictions—delivering insights that can influence national injury prevention and health policy. You’ll be part of
-
This project investigates 3Vs of Big Data (e.g Volume, Variety, and Velocity). Volume: Due to the exponential increase in data volume, it is necessary to adopt parallelism techniques to achieve