342 coding-"https:"-"https:"-"https:"-"Universidade-do-Minho---CTAC" positions in Australia
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policy outputs Adhere to AIATSIS Code of Ethics and Indigenous Cultural and Intellectual Property protocols About You: A PhD in a relevant discipline (e.g. geography, planning, political economy, law
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Help transform the lives of students, partners and communities now and in future Based Violence (GBV Code). This aligns with our mission to create safe and respectful communities. Candidates will be
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. This position is suited to an independent, research-focused academic with a strong publication record and demonstrated expertise in modern epidemiologic methods, advanced analytics and coding in R, and
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technical authority for managing platform risk and change. Establish architecture standards for data integration and ingestion, embedding modern DataOps, CI/CD, and Infrastructure-as-Code practices to drive
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Pathologists in Australia (2020), Speech Pathology Australia’s Code of Ethics (2020) and guidelines for Evidence-Based Practice for speech pathology in Australia (2021) proven experience in teaching and learning
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University is committed to upholding the National Code to Prevent and Respond to Gender-Based Violence (GBV Code). This aligns with our mission to create safe and respectful communities. Candidates will be
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, and Infrastructure as Code Proven leadership experience managing multidisciplinary technical teams Ability to engage stakeholders and translate complex needs into practical solutions Strong analytical
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Qualities: La Trobe University is committed to upholding the National Code to Prevent and Respond to Gender-Based Violence (GBV Code). This aligns with our mission to create safe and respectful communities
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children. Mechanistic modelling of disease transmission involves the use of computer code to represent the epidemic dynamics of infectious disease spread within the community. This allows modellers
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Epilepsyecosystem.org as a way to bring researchers, code and data together from all over the world to help solve the problem of seizure prediction. Required knowledge Machine learning, AI, signal processing, dynamical