53 parallel-and-distributed-computing-phd-"Multiple" Fellowship positions at The University of Queensland in Australia
Sort by
Refine Your Search
-
(Academic Level A) Visa sponsorship may be available for this position Based at our St Lucia Campus - Brisbane About This Opportunity Join the Computational Multiphysics Laboratory (CML) at UQ’s School
-
the development and implementation of the Living Systematic Review program as part of the National Allergy Centre of Excellence (NACE). This is a unique opportunity to shape national research in food
-
their potential for antibiotic production. Key responsibilities will include: Research: Establish a research program, collaborate on research projects, seek and manage research funding, publish in reputable
-
to contribute to student supervision and research development, as well as service and engagement roles and activities. Key responsibilities will include: Research: Contribute to and develop a research program
-
translation, including commercialisation of UQ intellectual property. Develop a coherent research program and an emerging research profile. Supervision and Researcher Development: Contribute to supervision
-
You For Level A Applicants will have completed or be near completion of a PhD in quantitative genetics, animal breeding, computational biology, or a related field. Additionally, you will demonstrate
-
, and a culture that celebrates bold ideas. About You We’re seeking a visionary researcher with: Completion or near completion of a PhD in a relevant discipline. Specialist registration in Australia with
-
providers and communities, informed by data from other ARC-IFC themes, and guided by relational Indigenous methodologies. Key responsibilities will include: Research: Establish a research program, collaborate
-
techniques. Citizenship and Service: Begin to develop partnerships, engage in internal service roles and committees, provide support to colleagues, and uphold university values. About You Completion of a PhD
-
technologies that support decarbonisation and clean energy goals. The successful applicant will contribute to the computational modelling and design of Prussian blue analogues, spin-crossover metal-organic