25 high-performance-computing-postdoc Fellowship positions at UNIVERSITY OF MELBOURNE
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. This role offers you the chance to work on the innovative molecular biology techniques, collaborate with diverse teams, and contribute to high-impact publications in a supportive academic environment. Your
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are a skilled and enthusiastic R programmer with a strong background in bioinformatics or computational statistics, capable of maintaining and extending complex software packages while collaborating
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Initiative, you'll contribute to a multidisciplinary research program with global impact. Your responsibilities will include: Conduct Innovative Research: Develop advanced metabolite profiling methods
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Initiative, you'll contribute to a multidisciplinary research program with global impact. Your responsibilities will include: Conduct Innovative Research: Develop advanced metabolite profiling methods
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, including Aboriginal and Torres Strait Islander people. To allow us to consider performance relative to opportunity, we also invite applicants to provide a brief statement (up to 1 page) that describes
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this role, you will work closely with a collaborative team of five Chief Investigators and two Partner Investigators across anthropology, philosophy, history, computing, and information science. You will
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annually to high-calibre Indigenous postdoctoral researchers. These fellowships are targeted to Aboriginal and Torres Strait Islander early career researchers and are also open to applications from First
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institutions. Your work will directly contribute to generating whole cell computational models for diverse bacterial, fungal and protist organisms, advancing our understanding of biological systems. Your
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experimental and theoretical research using microfluidics, high-speed video microscopy, and mathematical modelling to study the interactions between bacteria and algal endosymbionts. Experience in culturing and
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for the Mathematical Analysis of Cellular Systems (MACSYS ) and Melbourne Integrative Genomics (MIG ). You will work under the supervision of Dr Heejung Shim , whose group focuses on developing innovative computational