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approaches to integrating Traditional Knowledge and western science in restoration initiatives. Specific PhD topics may be negotiable but must align clearly with the noted grant aim. Preference will be given
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of generative AI. Essential Skills and Experience A background in a relevant field such as behavioural science, cognitive science, data science, psychology, human-computer interaction, law, or a related
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/Metallurgical Engineering or a related discipline Extensive lab experience is required, especially with high temperature metallurgical experiments Knowledge of iron and steelmaking is desirable Strong data
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We are seeking a highly motivated and skilled graduate in chemistry, materials science, chemical engineering, or biomedical engineering to join our research team as a Research Scientist/Engineer. This
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the website . SPHERE is located at the Department of General Practice at the School of Public Health and Preventive Medicine and is part of the Faculty of Medicine, Nursing and Health Sciences (MNHS) at Monash
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for this role you will need to have experience in the below key accountabilities: • Current knowledge of Federal and State Government policies and regulations related to international education, training and
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. Degree and/or knowledge of core chemical engineering disciplines such as reaction engineering, kinetic and process simulation. Excellent written and verbal communication skills. Problem-solving experience
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to investigate how employing visual, acoustic, and tactile stimulation on simple behavioural tasks could lead to improvements in cognitive functions such as working memory and selective attention, as well as brain
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to the designated supervisor for consideration. The awarding of the PhD scholarship is contingent upon successfully passing the interview process. Basic knowledge in cell biology is highly desired. Basic knowledge in
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Swinburne University of Technology before commencing the scholarship. About You To be suitable for this role you will need to have experience in the below key accountabilities: Experience in modelling (CAD