70 parallel-computing-numerical-methods-"Prof" PhD positions at Curtin University in Australia
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: - Research Training Program (RTP) Stipend scholarship or equivalent university research scholarship valued $37,500 per annum and indexed annually - Accommodation allowance of $24,128 per annum in 2024
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research program (First class), or a Masters programme with a research component (First class equivalent), or a Masters degree by research Essential: Strong grounding in a field relevant to the project
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qualifications in psychology, human factors, artificial intelligence, human computer interaction, or a discipline that could shed light on individual and team dynamics within the context of command and control
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to three years of study (with the potential for extension) Scholarship Details Maximum number awarded 1 Eligible courses The successful candidate must enrol into a Doctor of Philosophy (PhD) program
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The successful candidate must enrol into a Doctor of Philosophy (PhD) program (full-time study). Eligibility criteria The successful candidate must meet the minimum academic entry requirement for admission
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candidate must enrol into a Doctor of Philosophy (PhD) program (full-time study). Eligibility criteria The successful candidate must meet the minimum academic entry requirement for admission into the Doctor
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research priority, leverage existing Australian investments, and provide computational and statistical training. Expected outcomes include advances in astrophysical knowledge, enhanced national and
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, by emotion regulation difficulties. -Developing and testing an emotion regulation-focused treatment program for people with ADHD. Significance ADHD causes substantial burden of disease, and thus is of
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treatment program for alexithymia. Significance Mental health disorders are among the largest sources of burden of disease across the world. A key treatment problem is that of 'comorbidity', whereby people
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for the development of a comprehensive resistance mutation detection method based on the application of long-read sequencing technology to complex field samples. Student type Current Students Future Students Faculties