60 parallel-computing-numerical-methods-"DTU" Fellowship positions at The University of Queensland
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Food and Beverage Accelerator Program : Based in the Australian Institute for Bioengineering and Nanotechnology (AIBN) Full-time (100%), fixed-term lab-based position for up to 2 years Base salary
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School of Electrical Engineering and Computer Science Full-time (100%), fixed-term position for up to 3 years Base salary will be in the range $82,057.75 - $109,246.18 + 17% Superannuation (Academic
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remediation. Join an established team of researchers and collaborate on cutting edge projects to help change the world. Key responsibilities will include: Research: Establish a research program, collaborate on
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a research program, collaborate on research projects, seek and manage research funding, publish in reputable journals, utilize best practice research methodologies, and participate in project
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Food and Beverage Accelerator Program : Based in the Australian Institute for Bioengineering and Nanotechnology (AIBN) Full-time (100%), fixed-term position through to December 2027 Base salary will
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responsibilities will include: Research: Establish a research program, collaborate on research projects, seek and manage research funding, publish in reputable journals, utilize best practice research methodologies
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a $160 million initiative to boost growth and innovation in the food and beverage manufacturing sector. Part of the Federal Government’s Trailblazer Program, FaBA leverages $50m of government
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meaningful, applied outcomes for Australian grain production. Key responsibilities will include: Research: Establish a research program, collaborate on research projects, develop an emerging research profile
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sector. Key responsibilities will include (for Academic Level A and B): Research: Design and implement data-processing methods to assess sewer operations and support predictive, real-time control. Develop
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Performance . About You The successful candidate will play a key role in the development and validation of computational tools that integrate spatial transcriptomics, algorithmic methods, and machine learning