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Research Fellow - Chemical & Biological Engineering Job No.: 697580 Location: Clayton campus Employment Type: Full-time Duration: 12 month fixed-term appointment Remuneration: $86,195 - $116,981 pa
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, data processing pipelines, machine learning and generative AI applied to physical activity and sleep research. The position will contribute to the development of an AI-based behaviour change tool and
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them The Opportunity This role supports the execution of the Australia-India Strategic Research Fund (AISRF) project, “Designer crops: engineering thermotolerance for agricultural productivity,” jointly
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activity. The probes to be developed will utilise a quantum sensor based on optically detectable defects in diamond that are sensitive to magnetic fields. To be appointable into this role you will hold a PhD
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, privacy-preserving technologies, adversarial machine learning, explainable AI, or secure software engineering. Collaborate and Translate: Work within a supportive team, present findings at national and
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research environment through collaboration with colleagues and the supervision and mentoring of research assistants and students. The role provides an opportunity to apply advanced statistical methods
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. Monash supports flexible and hybrid working arrangements. We have a range of policies in place enabling staff to combine work and personal commitments. This includes supporting parents . To Apply Your
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. We have a range of policies in place enabling staff to combine work and personal commitments. This includes supporting parents . To Apply For instructions on how to apply, please refer to 'How to apply
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applied mathematics and economic geology and is based in the School of Mathematics at Monash University. You will work closely with A/Prof Anja Slim at Monash, Dr Edward Hinton at the University
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findings at major conferences and workshops Contribute to the supervision and mentoring of PhD and Honours students About you You will hold a PhD in physics, materials science, engineering or a related