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-temperature conditions. Proficiency with data analysis tools and scientific programming languages (e.g., Python, MATLAB, LabVIEW). Commitment to safe laboratory practices and familiarity with experimental risk management
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or implementing deep learning approaches on existing clinical systems). Experience and interest in grant writing would be viewed favourably. To be successful in this position, you will have: A PhD in a relevant
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research teams. Ability to work in a team. Qualifications PhD in Materials/Manufacturing/Mechanical Engineering or related discipline. High level proficiency in English (essential) and Spanish (beneficial
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, mentoring academic staff, PhD candidates, and fostering inclusive, respectful and productive working relationships. Extensive experience in supervising higher degree by research candidates and providing
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interpersonal and communications skills. Qualifications Mandatory: PhD in related field Desirable: Experience in spatial analysis, proteomics. Please Note: Appointment to this position is subject to passing a
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the other members of the wider project team. To be successful in this position, you will have: PhD qualification in the relevant discipline area, such as computational/theoretical physics or chemistry, or
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outputs (e.g., peer reviewed journal publications, conference presentations, technical reports) in relevant fields. Data Analysis and Interpretation: High-level ability to analyse and interpret experimental
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for. For further information about this position, contact: Senior Advisor, Aleksandra Besia at Aleksandra.besia@rmit.edu.au Applications Close: 15 Jan 2026 11.59 pm RMIT is an equal opportunity employer committed