292 phd-studenship-in-computer-vision-and-machine-learning PhD positions in Australia
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Australia (BSc Data Science [Honours] Classifying Successful Patterns of Play in Field Hockey) and a Data Science PhD with the Fremantle Football Club (Sam Moffatt: Understanding Complexity: A machine
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factors involved in the onset and progression of dementia. Advanced computational methods, including bioinformatics pipelines and machine learning, will be employed to uncover putative biomarkers and
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What you'll receive You'll receive a stipend of $33,637 per annum for a maximum duration of 3.5 years while undertaking a QUT PhD. The duration includes an extension of up to six months if approved
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resident • meet university PhD admission and English language requirements • not have previously completed a PhD • not be in receipt of another primary scholarship • be able to commence the program in
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to study a PhD focused on Chemical Engineering or other relevant fields, e.g. Material Science & Engineering. Eligibility criteria Applicants are required to: Full-time enrolment Show the capacity to carry
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What you'll receive You'll receive a stipend of $32,192 per annum for a maximum duration of three and a half years while undertaking a QUT PhD. The duration includes an extension of up to six months
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admission requirements. Meet university English language requirements. Not have previously completed a PhD. Be able to commence the Program in the year of the offer. Enrol as a full-time PhD student. Be
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Occupational health OHS Committee OHS management system Psychosocial and mental health SharePoint – SOP & Noticeboard Resources Training courses and induction Latest updates Feeling the chill at work? Learn the
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) Atomistic classical simulations of macromolecules (v) Biophysics. You can write computer codes to solve some of the daily research problems and have experience with high performance computing. You should have
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into fundamental molecular events. At the same time, access to translational pipelines will enable the candidate to apply their learnings in a meaningful way, revealing novel therapeutic targets critical for cancer