163 computer-programmer-"https:" "https:" "UNIS" "https:" "https:" "https:" "https:" "Dr" PhD positions in Australia
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, computational modelling, and data-driven alloy design to: Understand the mechanisms of local austenite-to-ferrite transformation in low-alloy steels; Develop frameworks to predict and control
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entry requirement for the Doctor of Philosophy program by Curtin University and English proficiency IELTS level 7. Eligibility criteria The successful candidate(s) will have: First class or upper second
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infancy is difficult. This PhD program aims at using state-of-the art multi-channel near infrared spectroscopy (NIRS) to assess the functional brain response of infants born preterm in long-term follow-up
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project support scholarship. The student will still require the award of a research scholarship from QUT as part of their admission to the higher degree by research (HDR) program. Preference will be given
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applied physics other related disciplines. Demonstrated knowledge in at least one of the following areas: porous media flow computational fluid dynamics (CFD) pore-network modelling lattice Boltzmann method
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Connect with a peer Support Groups Information Forums IBD Service Locator Young Adult Support Youth Support Toggle Sub Navigation Camp Fearless Youth Empowerment Program Kids Fun Day For Health
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project within an NHMRC-funded program focused on dementia research. Using a systems biology framework, the project will integrate genomic and lifestyle data to identify key molecular pathways and risk
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be some flexibility as to the specific date of commencement. Enquiries You are required to discuss your research proposal with Dr Louise Devenish (Graduate Research Program Director), Sir Zelman Cowen
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for admission to a QUT Doctor of Philosophy . The first step is to email Dr Daniella Teixeira detailing your academic and research background, your motivation to research in this field and interest in
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) before the human eye can see them. The principal aim of this PhD research program is to develop methods to improve the hyperspectral image classification using deep learning techniques. The developed