28 high-performance-computing-postdoc PhD positions at University of Adelaide in Australia
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The National Industry PhD Program is an Australian Government initiative to enhance workforce mobility among graduate researchers, and to promote knowledge transfer between academia and industries
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suitable knowledge and experience in machine learning and AI, electricity market, and power system operation (through a high-quality Honours or Masters degree). The successful candidate must be able to enrol
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learning. This program allows students to conduct cutting-edge AI research at a world-class institute and provides travel funding to gain valuable experience working with international collaborators in
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regenerate the single cathode materials from black mass with high electrochemical performance. Eligibility: Applicants must be Australian citizens, permanent residents of Australia, or international students
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research papers. Program overview The successful candidate will receive: Admission to a PhD program at the University of Adelaide; A University of Adelaide Research Scholarship for 3.75 years, paid
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monitoring the recovery of these critical but endangered species and ecosystem. A cohort of PhD projects have been developed to achieve high-impact outcomes for bird recovery across the MLR in three priority
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. Demonstrated high level of computing skills, including competency with qualitative analysis software (NVivo), spreadsheets and data management systems. Experience in contributing towards producing conference
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addition to debits, credits can be obtained. The research performed under this internship by an Electrical/Power Engineering or Computer Science PhD student will relate to this reform, specifically investigation
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and rural health staff informatics, coordinate the writing of ethical applications and reports, and contribute to writing publications and external grants. To be successful you will need: A PhD in
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. Demonstrated ability to work independently and be self-motivated to complete research to a high standard. Relevant experience in apicomplexan parasite, malaria parasite, or Cryptosporidium models is desirable