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can meet the requirements for PhD admission at the University of Adelaide, and who can demonstrate suitable experience in a related field (through a high quality Honours or Masters degree
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of Electrical and Mechanical Engineering, University of Adelaide Associate Professor David Harvey, School of Electrical and Mechanical Engineering, University of Adelaide Dr Phil Wahrlich, Chief Scientist
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. The candidate will collaborate with a multidisciplinary team of researchers and contribute to the advancement of knowledge in this area. Qualifications Master's degree in machine learning Knowledge of deep
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International students PhD Eligibility Criteria Honors or Masters degree in Electrical, Electronic or Biomedical Engineering or a closely related discipline. The applicant will need to meet the minimum
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applicant must have achieved at least a distinction average in the final year; or a master's degree that includes a research component comprised of at least 25% of a full time (or part time equivalent
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their internship plans with their Principal Supervisor in anticipation of that.
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globally. Supervisory team The principal supervisor will be Associate Professor Shalini Arunogiri . Co-supervisors will be dependent on the project focus, and may include supervisors at Turning Point and/or
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The principal supervisors will be Dr Rowan Ogeil and Dr Bosco Rowland . Dr Ogeil is a Senior Research Fellow at Monash University, and the Strategic Lead of the National Addiction and Mental Health Surveillance
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to improve human health locally and globally. Supervisory team The principal supervisor will be Dr Jasmin Grigg . Dr Grigg is a Research Fellow in Addiction Studies at Monash University and Turning Point. Her
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Criteria The candidate must have a Masters or Honours level degree in chemistry or a related discipline. Demonstrated experience in density functional theory and/or molecular dynamics is desirable