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Field
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or nearing the completion of a relevant PhD. Essential skills include hands on experience with mechanical characterisation of biological entities and investigation of their flow patterns inside closed systems
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| Essential skills/experience for the role To be successful in this role you will have: A relevant science qualification, ideally a PhD Proven experience in environmental research and data analysis Strong
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treatment effect models. Ensure data quality by employing rigorous data cleaning procedures and by documenting all processes and coding steps transparently. Methodological Development Contribute to selecting
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significant consideration. Applications from all disciplinary backgrounds are welcome. General eligibility The fellowships are meant primarily for graduate students (both MA and PhD) at the University
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analysis of data, including functional brain imaging results, cognitive psychology and symptom ratings on patient and healthy populations to better understand the symptoms of psychosis. The data collection
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program (PhD or MPhil) at the University of Adelaide in one of the eligible disciplines listed above; Undertaking research aligned with the fields of mineral processing, mining engineering or chemical
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-time students on a pro-rata basis. The course should be completed with no gaps in study to retain the full bursary amount. PHD / Postgraduate Research courses are not eligible for this bursary. How
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of Philosophy in Population and Public Health (PhD) Sex and gender disparities in cancer incidence and survival Christina Whang Master of Science in Experimental Medicine (MSc) Muscle fatigue in incomplete spinal
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world to join us as either graduate students (MS/PhD) or postdoctoral researchers. Who we are looking for: Graduate Students (MS/PhD): Highly motivated individuals with backgrounds in Optics and Applied Physics
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community engagement and working with diverse populations. Strong research skills, including desktop research and evaluation research. Strong project management skills, with the ability to manage multiple