Australia Browse · Melbourne · Researcher
University Health
$87,266 - $118,416 py
Drive the synthesis and characterisation of pressure-responsive inorganic molecular materials within a collaborative ARC project
the University
$87,266 - $118,416 py
Drive the synthesis and characterisation of pressure-responsive inorganic molecular materials within a collaborative ARC project
staff.unimelb.edu.au
$87,266 – $118,416 py
Drive exploratory research at the intersection of AI and optimisation within ARC Training Centre OPTIMA
staff.unimelb.edu.au
Level a: $85,555 - $116,094 py + 17% super
Join an ARC-funded project on correlated restless bandits and collaborate with leading international investigators
staff.unimelb.edu.au
$87,266 - $118,416 py
Drive the synthesis and characterisation of pressure-responsive inorganic molecular materials within a collaborative ARC project
jobs.unimelb.edu.au
$110,319 py
jobs.unimelb.edu.au looks for a senior Research Fellow In Quantum Omics
University of Melbourne
Level a: $85,555 - $116,094 py + 17% super
Conduct high quality research in stochastic optimisation, focusing on theory and applications of correlated restless bandit models
jobs.unimelb.edu.au
$87,266 - $118,416 py
Contribute to a collaborative ARC Discovery project focused on pressure-responsive molecular materials and molecular electronics
jobs.unimelb.edu.au
$87,266 – $118,416 py
jobs.unimelb.edu.au looks for a experience required optima postdoctoral research fellow with Ai In Optimisation
Academic Jobs
Level a: $85,555 - $116,094 py + 17% super
Join an ARC Discovery team advancing stochastic optimisation for highly correlated restless bandit models
Academic Jobs
$87,266 – $118,416 py
Drive exploratory research at the intersection of AI and optimisation within ARC Training Centre OPTIMA
Academic Jobs
$110,319 py
Lead statistical and computational methods development for high-dimensional omics and cell-level data at the quantum-biology interface
University of Melbourne
$110,319 py
Lead statistical and computational methods development for high-dimensional omics and cell-level data at the quantum-biology interface
University of Melbourne
Level a: $85,555 - $116,094 py + 17% super
Join an ARC Discovery team advancing stochastic optimisation for highly correlated restless bandit models
University of Melbourne
$87,266 – $118,416 py
University of Melbourne looks for a senior optima postdoctoral research fellow with Ai In Optimisation
The University
Level a: $85,555 - $116,094 py + 17% super
The University looks for a experience required Postdoctoral Fellow In Stochastic Optimisation
The University
$87,266 – $118,416 py
The University looks for a experience required optima postdoctoral research fellow with Ai In Optimisation
The University Of Melbourne
Level a: $85,555 - $116,094 py + 17% super
Join an ARC Discovery team advancing stochastic optimisation for highly correlated restless bandit models
The University Of Melbourne
$87,266 – $118,416 py
Drive exploratory research at the intersection of AI and optimisation within ARC Training Centre OPTIMA
University Health
$110,319 py
Lead statistical and computational methods development for high-dimensional omics and cell-level data at the quantum-biology interface
University Health
Level a: $85,555 - $116,094 py + 17% super
Join an ARC Discovery team advancing stochastic optimisation for highly correlated restless bandit models
University Health
$87,266 – $118,416 py
Drive exploratory research at the intersection of AI and optimisation within ARC Training Centre OPTIMA
Peter MacCallum Cancer Centre
$73,762.00 to $105,846.00 py
The role involves investigating novel immunobiologics and immunotherapies in high-grade serous ovarian cancer using advanced ex vivo human tissue culture systems
the University of Melbourne
$124,656 - $148,023 py
This role involves leading the analysis of the landmark TRANSform cohort to shape evidence that improves healthcare and policy for trans communities
Peter MacCallum Cancer Centre
Up to $73,762.00 (level a: 1ra1) to $105,846.00 (l...
The role involves investigating novel immunobiologics and immunotherapies in high-grade serous ovarian cancer within a leading Australian cancer genomics group
