15 parallel-processing-bioinformatics-"https:" Fellowship positions at Curtin University in Australia
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are looking for - Selection Criteria: Essential: A PhD in a relevant discipline such as Applied Statistics, Mathematics, Bioinformatics, and/or Computational Genetics, Data Science. A demonstrated track record
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are encouraged to apply. Our aim is to create a workforce that reflects the diversity of the community in which we live. For more information, please visit our Diversity and Inclusion page - https
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. Competence using word-processing and spreadsheet software to generate reports. The ability to work independently as well as collaboratively within a team environment. Role Requirements: As this is a fixed term
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(e.g., Docker, Kubernetes, cloud/edge environments). Demonstrated expertise in AI, distributed computing, machine learning, or systems software design. Strong background in software engineering
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disciplines work together to perform high quality teaching and support each other in achieving at the highest possible levels in all aspects of academic life. For more information, please visit: https
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staff is critical to our ongoing success. For further details about the Faculty of Health Sciences, visit: http://healthsciences.curtin.edu.au About Curtin University We are an energetic, dedicated team
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therapy and paramedicine; and specialist postgraduate courses in areas ranging from diabetes and critical care, to child health and midwifery. For more information about our School, please visit https
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in the creative arts/performing arts sector. This could be cumulative across a number of professional contracts/appointments. Application process Applications will close on 8 September 2025. Applicants
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capabilities in agricultural disease management. Your responsibilities will include: Lead the development and application of novel methods/pipelines for processing and analysing satellite, airborne and proximal
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essential criteria: Experience in additive manufacturing or related advanced manufacturing processes. Strong grounding in materials science, with exposure to testing and characterisation techniques. Skills in