84 algorithm-development-"Multiple"-"Simons-Foundation"-"Prof"-"UNIS" positions at Monash University
Sort by
Refine Your Search
-
Listed
-
Category
-
Program
-
Field
-
PhD Scholarship – Development of novel Radiotracers for the Fibrosis Detection - PhD scholarship available with an International Team Job No.: 648919 Location: The Alfred Centre Employment Type
-
environmental stewardship in Antarctica and the Southern Ocean. The ideal candidate will have extensive experience in developing complex proposals for large-scale, multimillion-dollar projects involving multiple
-
PhD Program – Understanding core competencies and mechanisms in the development and prevention of problem behaviour and poor mental health in the adolescent and early adult years Job No.: 680087
-
and innovation catalyst, in this exciting project, you will develop novel algorithms to monitor and analyse workers' movements, detect harmful movement patterns, and implement simple intervention
-
optimisation.” The successful candidate will be involved in developing new mathematical theory and designing and implementing optimisation algorithms relevant to quantum information. The Research Fellow will
-
extraordinary ideas - and the people who discover them The Opportunity We are seeking a highly motivated Research Fellow to join the Faculty of Science and School of Physics and Astronomy to develop methods
-
develop a versatile time series foundation model that can capture complex temporal patterns and adapt to various downstream tasks such as anomaly detection [2] and classification [3,4]. The ultimate goal is
-
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
-
-tracking, pupillometry), cognitive modelling, and regulatory analysis to assess how algorithmic explanations shape human judgement and how existing legal and ethical frameworks align with the evolution
-
appropriate technique for their software system. In this project, we will develop AI-based methods for selecting the appropriate APR technique to fix a particular bug. The aim is to improve the effectiveness