20 computer-phd-"https:"-"UCL"-"CIPMM---Systemic-Neurophysiology" PhD positions in Australia
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Energy Market Operator (AEMO) launched the Zema Energy Studies Scholarship in March 2019, world-class PhD program to develop the nation’s future energy leaders. The Zema Scholarship aims to create a cohort
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PhD Scholarship – Population Changes in Adolescent Alcohol and Drug Use: What should we be tracking and who is at risk? Job No.: 693097 Location: Turning Point, 110 Church Street, Richmond 3121
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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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modelling astrophysical phenomena. The PhD project will focus on developing theoretical methods to generate accurate data to meet this demand. The student will gain expertise in high-performance computational
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field” imaging techniques to solve many important problems in biology and change clinical practice in respiratory medicine. Our ongoing research program involves developing new imaging technologies
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into the Doctor of Philosophy program https://research.curtin.edu.au/postgraduate/ including the English proficiency levels set by Curtin University (e.g., IELTS, Overall 6.5, Speaking 6.0, Writing 6.0, Reading
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PhD in Computer Science, AI, Machine Learning or related field Experience Strong track record of publications in top-tier venues (e.g. CORE A*) Expertise in reinforcement learning, AI agents, and LLM
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materials systems at the molecular level with machine learning. The PhD Student will work with tumour sections to develop multiple instance learning and weak supervision / spatial transcriptomics models
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courses Participation in this program is open to health professionals to pursue a Doctor of Philosophy (PhD) in health and medical sciences. Eligibility criteria The Activity Lead must: have secured
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materials systems at the molecular level with machine learning. The PhD Student will undertake a study analysing mass spectral imaging data streams in real time using machine learning workflows. A pathway for