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Field
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, including the demonstrated ability to confidently and effectively work with colleagues, project team leaders, and industry partners. High level of communication skills. Mandatory Qualifications: PhD
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scientific papers, and contribute to the overall preparation of research for publication. To assist in the training of PhD and undergraduate students. Working Conditions: This position works in a laboratory
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candidate will help to support the team to formally document algorithms within a quality management system. EpiNav™ provides state-of-the-art computer-assisted support for the planning of stereotactic
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Qualifications: PhD Qualification in the relevant discipline area. Please Note: Appointment to this position is subject to passing a Working with Children and National Police Check. About the RMIT School
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. Qualifications: Minimum Qualifications: PhD in Biomedical Engineering or related field from an accredited university, conferred by the start of employment Working knowledge of research being undertaken Laboratory
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, or single-photon detectors (used for single-photon Lidar), that natively produce event-like data that is compatible with spiking networks. Similarly, detection events from RF (radar and electronic
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document algorithms within a quality management system. EpiNav™ provides state-of-the-art computer-assisted support for the planning of stereotactic neurosurgery procedures. It has been in daily clinical use
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electron microscopy or x-ray tomography Analyze experimental data to investigate mechanisms of irradiation- and mechanically- induced damage Present and report research results and publish scientific results
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mission. Eligibility and Requirements We’re seeking pragmatic and applied scholars who are eager to produce research that informs real-world action, not just theory. Applicants must have: A recent PhD
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applicants regardless of their personal background. Qualifications and the selection process Applicants for this position must hold a PhD degree (or equivalent level of education) in bioinformatics, data