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algorithms into practical biopharmaceutical applications while remaining grounded in an academic environment that values rigour and publication. You'll be part of a multidisciplinary team, supported by
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to apply, please refer to 'How to apply for Monash Jobs '. Diversity is one of our greatest strengths at Monash. We encourage applications from Aboriginal and Torres Strait Islander people, culturally and
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with sourcing tools including LinkedIn Recruiter and applicant tracking systems (preferably PageUp) Strong ability to engage passive candidates with clear, compelling outreach Familiarity with sourcing
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suitability to this position. Key Selection Criteria responses are not required. Please refer to 'How to apply for Monash Jobs' . Diversity is one of our greatest strengths at Monash. We encourage applications
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environment Proficiency with sourcing tools including LinkedIn Recruiter and applicant tracking systems (preferably PageUp) Strong ability to engage passive candidates with clear, compelling outreach
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potential remedial approaches - will be explored in this research program and they include (as examples): variability in staining outcomes across different stains and different sites (even within a given
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evaluation will be conducted to assess the performance of these models, identifying their strengths and areas for improvement. Required knowledge Python programming Machine learning background
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quantitative analysis. This position is responsible for developing and conducting experiments, analysing neurophysiological data and contributing to the design and delivery of visual stimuli using programming
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, automatically generating a personalised prediction model and a downloadable app. This early-stage development will demonstrate the scalability and broader applicability over a longer period and across a wider
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the development of Explainable AI Systems that can provide explanations of AI agent decisions to human users. Past work on plan explanations primarily focused on explaining the correctness and validity of plans. In