56 computer-programmer-"the"-"IMPRS-ML"-"IMPRS-ML"-"Prof"-"BIP" positions at Flinders University
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Role The Flinders Accelerator for Microbiome Exploration (FAME) is seeking a Research Associate in Computational Genomics to develop next-generation bioinformatics tools for genome and metagenome
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in Paramedicine within the College of Medicine and Public Health, you will contribute to teaching excellence across the Bachelor of Paramedicine program. You will be responsible for independently
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The College of Science and Engineering is seeking a Research Associate in Computational Statistics to undertake research on the modelling and analysis of biofouling processes in marine environments. This role
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) to develop clinical skills, reflective practice, and professional identity. Monitoring placement progress, ensuring compliance with PsyBA and program requirements, and maintaining accurate documentation
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to promote gender equality in the workplace. We have been awarded Institutional Bronze Accreditation in the SAGE Athena SWAN program, recognising the University’s ongoing efforts towards achieving gender
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scholarly contribution in our fastest growing program, Sports Management. As an Associate Professor in Sports Management (Teaching Specialist) or Associate Professor in Sports Management (Teaching and
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by the Centre. This includes, but is not limited to, the National Australian Hepatitis C Point-of-Care Testing Program. In this role, you will contribute to the implementation of point-of-care testing
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equality in the workplace. We have been awarded Institutional Bronze Accreditation in the SAGE Athena SWAN program, recognising the University’s ongoing efforts towards achieving gender equity. Ours is an
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, pathways, course and entry requirements. Undertaking project work to plan, develop and coordinate new and continuing initiatives to assist in the recruitment of students. Managing relationships with key
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and implement cutting-edge assays to explore how bacteriophages regulate their life cycle and respond to environmental signals, combining wet-lab and computational biology approaches. The Research