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previous background in randomised trials. Familiarity with statistical analysis software (e.g., STATA, R, SPSS) and experience working with health-related data will be advantageous. The ability to work
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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 (expertise in planning and
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. This experience can be concurrent during PhD research. Must have experience in research software development, FAIR data/open science, life sciences data systems, and analysis of ‘omics data (e.g., metabolomics
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on human behavior modeling related to video classification using deep learning networks for end-users. Work with other team members to develop and maintain software for maximum efficiency and usability
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Qualifications: A PhD in Physics, Astrophysics, Data Science or a closely related discipline is required. Strong proficiency with programming, especially in python and optionally in C/C++. Strict adherence to open
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independently, as well as within a team, to ensure proper operation and maintenance of equipment. Job Requirements PhD/Master’s in Naval Architecture, Ocean Engineering, Civil Engineering, or related field
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, PhD, and/or equivalent doctoral level degree Completion of an ACGME-accredited Clinical Informatics Fellowship or equivalent advanced training with Board Certification/Eligibility in Clinical
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landscapes”, “Birth and Death of Stars”, “Earth – our habitable world”, and “Earth – a cosmic connection”). Minimum Qualifications: A PhD in Physics, Astrophysics, Data Science or a closely related discipline